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DTSTART;TZID=Europe/Copenhagen:20260326T100000
DTEND;TZID=Europe/Copenhagen:20260326T150000
DTSTAMP:20260403T213528
CREATED:20260211T133746Z
LAST-MODIFIED:20260217T120950Z
UID:10001922-1774519200-1774537200@ddsa.dk
SUMMARY:CodeRefinery workshop: Best practices for research software development
DESCRIPTION:DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. \nThis free online CodeRefinery workshop is designed for researchers and students from all disciplines\, who want to write software as part of their research. \nThis workshop teaches essential tools which are usually skipped in academic education so everyone can make full use of software\, computing\, and data with focus on reusability\, reproducibility\, and openness. \nThe workshop covers:\n17 March – Version control with Git\n18 March – Version control with Git\n19 March – Collaborative distributed version control\n24 March – Reproducible research\, social coding and open software\n25 March – Documentation of research software and AI tools for coding\n26 March – Automated testing and modular code development \nThe event is a community effort between DTU Library\, BRIGHT\, DTU Compute and the Turing Council – DTU Compute Master’s Student Council. DDSA is generously sponsoring the in-person class\, which includes coffee\, snacks and lunch. \nRead more and register at the DTU Library calendar (link below).\nAlso\, learn more about CodeRefinery here: https://coderefinery.github.io/2026-03-17-workshop/
URL:https://ddsa.dk/event/coderefinery-workshop-best-practices-for-research-software-development/2026-03-26/
LOCATION:DTU Lyngby\, Building 358\, Akademivej\, Kgs. Lyngby\, 2800\, Denmark
CATEGORIES:DDSA-Funded Event,Other Events
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/02/coderefinery.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20260325T100000
DTEND;TZID=Europe/Copenhagen:20260325T150000
DTSTAMP:20260403T213528
CREATED:20260211T133746Z
LAST-MODIFIED:20260217T120950Z
UID:10001921-1774432800-1774450800@ddsa.dk
SUMMARY:CodeRefinery workshop: Best practices for research software development
DESCRIPTION:DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. \nThis free online CodeRefinery workshop is designed for researchers and students from all disciplines\, who want to write software as part of their research. \nThis workshop teaches essential tools which are usually skipped in academic education so everyone can make full use of software\, computing\, and data with focus on reusability\, reproducibility\, and openness. \nThe workshop covers:\n17 March – Version control with Git\n18 March – Version control with Git\n19 March – Collaborative distributed version control\n24 March – Reproducible research\, social coding and open software\n25 March – Documentation of research software and AI tools for coding\n26 March – Automated testing and modular code development \nThe event is a community effort between DTU Library\, BRIGHT\, DTU Compute and the Turing Council – DTU Compute Master’s Student Council. DDSA is generously sponsoring the in-person class\, which includes coffee\, snacks and lunch. \nRead more and register at the DTU Library calendar (link below).\nAlso\, learn more about CodeRefinery here: https://coderefinery.github.io/2026-03-17-workshop/
URL:https://ddsa.dk/event/coderefinery-workshop-best-practices-for-research-software-development/2026-03-25/
LOCATION:DTU Lyngby\, Building 358\, Akademivej\, Kgs. Lyngby\, 2800\, Denmark
CATEGORIES:DDSA-Funded Event,Other Events
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/02/coderefinery.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20260324T100000
DTEND;TZID=Europe/Copenhagen:20260324T150000
DTSTAMP:20260403T213528
CREATED:20260211T133746Z
LAST-MODIFIED:20260217T120950Z
UID:10001920-1774346400-1774364400@ddsa.dk
SUMMARY:CodeRefinery workshop: Best practices for research software development
DESCRIPTION:DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. \nThis free online CodeRefinery workshop is designed for researchers and students from all disciplines\, who want to write software as part of their research. \nThis workshop teaches essential tools which are usually skipped in academic education so everyone can make full use of software\, computing\, and data with focus on reusability\, reproducibility\, and openness. \nThe workshop covers:\n17 March – Version control with Git\n18 March – Version control with Git\n19 March – Collaborative distributed version control\n24 March – Reproducible research\, social coding and open software\n25 March – Documentation of research software and AI tools for coding\n26 March – Automated testing and modular code development \nThe event is a community effort between DTU Library\, BRIGHT\, DTU Compute and the Turing Council – DTU Compute Master’s Student Council. DDSA is generously sponsoring the in-person class\, which includes coffee\, snacks and lunch. \nRead more and register at the DTU Library calendar (link below).\nAlso\, learn more about CodeRefinery here: https://coderefinery.github.io/2026-03-17-workshop/
URL:https://ddsa.dk/event/coderefinery-workshop-best-practices-for-research-software-development/2026-03-24/
LOCATION:DTU Lyngby\, Building 358\, Akademivej\, Kgs. Lyngby\, 2800\, Denmark
CATEGORIES:DDSA-Funded Event,Other Events
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/02/coderefinery.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20260319T100000
DTEND;TZID=Europe/Copenhagen:20260319T150000
DTSTAMP:20260403T213528
CREATED:20260211T133746Z
LAST-MODIFIED:20260217T120950Z
UID:10001919-1773914400-1773932400@ddsa.dk
SUMMARY:CodeRefinery workshop: Best practices for research software development
DESCRIPTION:DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. \nThis free online CodeRefinery workshop is designed for researchers and students from all disciplines\, who want to write software as part of their research. \nThis workshop teaches essential tools which are usually skipped in academic education so everyone can make full use of software\, computing\, and data with focus on reusability\, reproducibility\, and openness. \nThe workshop covers:\n17 March – Version control with Git\n18 March – Version control with Git\n19 March – Collaborative distributed version control\n24 March – Reproducible research\, social coding and open software\n25 March – Documentation of research software and AI tools for coding\n26 March – Automated testing and modular code development \nThe event is a community effort between DTU Library\, BRIGHT\, DTU Compute and the Turing Council – DTU Compute Master’s Student Council. DDSA is generously sponsoring the in-person class\, which includes coffee\, snacks and lunch. \nRead more and register at the DTU Library calendar (link below).\nAlso\, learn more about CodeRefinery here: https://coderefinery.github.io/2026-03-17-workshop/
URL:https://ddsa.dk/event/coderefinery-workshop-best-practices-for-research-software-development/2026-03-19/
LOCATION:DTU Lyngby\, Building 358\, Akademivej\, Kgs. Lyngby\, 2800\, Denmark
CATEGORIES:DDSA-Funded Event,Other Events
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/02/coderefinery.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20260318T100000
DTEND;TZID=Europe/Copenhagen:20260318T150000
DTSTAMP:20260403T213528
CREATED:20260211T133746Z
LAST-MODIFIED:20260217T120950Z
UID:10001918-1773828000-1773846000@ddsa.dk
SUMMARY:CodeRefinery workshop: Best practices for research software development
DESCRIPTION:DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. \nThis free online CodeRefinery workshop is designed for researchers and students from all disciplines\, who want to write software as part of their research. \nThis workshop teaches essential tools which are usually skipped in academic education so everyone can make full use of software\, computing\, and data with focus on reusability\, reproducibility\, and openness. \nThe workshop covers:\n17 March – Version control with Git\n18 March – Version control with Git\n19 March – Collaborative distributed version control\n24 March – Reproducible research\, social coding and open software\n25 March – Documentation of research software and AI tools for coding\n26 March – Automated testing and modular code development \nThe event is a community effort between DTU Library\, BRIGHT\, DTU Compute and the Turing Council – DTU Compute Master’s Student Council. DDSA is generously sponsoring the in-person class\, which includes coffee\, snacks and lunch. \nRead more and register at the DTU Library calendar (link below).\nAlso\, learn more about CodeRefinery here: https://coderefinery.github.io/2026-03-17-workshop/
URL:https://ddsa.dk/event/coderefinery-workshop-best-practices-for-research-software-development/2026-03-18/
LOCATION:DTU Lyngby\, Building 358\, Akademivej\, Kgs. Lyngby\, 2800\, Denmark
CATEGORIES:DDSA-Funded Event,Other Events
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/02/coderefinery.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20260317T100000
DTEND;TZID=Europe/Copenhagen:20260317T150000
DTSTAMP:20260403T213528
CREATED:20260211T133746Z
LAST-MODIFIED:20260217T120950Z
UID:10001917-1773741600-1773759600@ddsa.dk
SUMMARY:CodeRefinery workshop: Best practices for research software development
DESCRIPTION:DTU and DDSA offer an in-person classroom of the CodeRefinery workshops for all students and staff at Danish universities. \nThis free online CodeRefinery workshop is designed for researchers and students from all disciplines\, who want to write software as part of their research. \nThis workshop teaches essential tools which are usually skipped in academic education so everyone can make full use of software\, computing\, and data with focus on reusability\, reproducibility\, and openness. \nThe workshop covers:\n17 March – Version control with Git\n18 March – Version control with Git\n19 March – Collaborative distributed version control\n24 March – Reproducible research\, social coding and open software\n25 March – Documentation of research software and AI tools for coding\n26 March – Automated testing and modular code development \nThe event is a community effort between DTU Library\, BRIGHT\, DTU Compute and the Turing Council – DTU Compute Master’s Student Council. DDSA is generously sponsoring the in-person class\, which includes coffee\, snacks and lunch. \nRead more and register at the DTU Library calendar (link below).\nAlso\, learn more about CodeRefinery here: https://coderefinery.github.io/2026-03-17-workshop/
URL:https://ddsa.dk/event/coderefinery-workshop-best-practices-for-research-software-development/2026-03-17/
LOCATION:DTU Lyngby\, Building 358\, Akademivej\, Kgs. Lyngby\, 2800\, Denmark
CATEGORIES:DDSA-Funded Event,Other Events
ATTACH;FMTTYPE=image/png:https://ddsa.dk/wp-content/uploads/2026/02/coderefinery.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20250907T235800
DTEND;TZID=Europe/Copenhagen:20250907T235900
DTSTAMP:20260403T213528
CREATED:20250512T122351Z
LAST-MODIFIED:20250512T122351Z
UID:10001635-1757289480-1757289540@ddsa.dk
SUMMARY:DDSA Mentoring Programme - Mentee Application Deadline
DESCRIPTION:Are you an aspiring data scientist seeking guidance and support? The Danish Data Science Academy (DDSA) is excited to announce the launch of the 2025/26 DDSA Mentoring Programme this autumn – Mentee applications will open May 28th and close September 7th! \nRead more and apply here: https://ddsa.dk/mentoring-programme/
URL:https://ddsa.dk/event/ddsa-mentoring-programme-mentee-application-deadline/
LOCATION:Online
CATEGORIES:DDSA-Organised Event
ORGANIZER;CN="DDSA":MAILTO:secretariat@ddsa.dk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20250523T235800
DTEND;TZID=Europe/Copenhagen:20250523T235800
DTSTAMP:20260403T213528
CREATED:20250512T113318Z
LAST-MODIFIED:20250512T113515Z
UID:10001634-1748044680-1748044680@ddsa.dk
SUMMARY:DDSA Mentoring Programme - Mentor Application Deadline
DESCRIPTION:Are you passionate about data science and eager to share your experiences? Or are you an aspiring data scientist seeking guidance and support? The Danish Data Science Academy (DDSA) is excited to announce the launch of the 2025/26 DDSA Mentoring Programme this autumn – and mentor applications are now open! \nRead more and apply here: https://ddsa.dk/mentoring-programme/
URL:https://ddsa.dk/event/ddsa-mentoring-programme-mentor-application-deadline/
LOCATION:Online
CATEGORIES:DDSA-Organised Event
ORGANIZER;CN="DDSA":MAILTO:secretariat@ddsa.dk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241125T110000
DTEND;TZID=Europe/Berlin:20241125T123000
DTSTAMP:20260403T213528
CREATED:20241011T084458Z
LAST-MODIFIED:20241011T084458Z
UID:10001407-1732532400-1732537800@ddsa.dk
SUMMARY:A short Introduction to Efficient Natural Language Processing
DESCRIPTION:This talk will outline the challenges of developing efficient models with limited data and resources. It will explore strategies to maximise data and model efficiency\, emphasising the importance of managing large models that typically require significant computational resources and are predominantly trained on English data. \nIt will also discuss techniques like pre-filtering\, online methods\, data augmentation\, and curriculum learning\, as well as parameter-efficient training methods like adapters\, prompt tuning\, and prefix tuning to enhance model performance without extensive data requirements. \nRegister here: https://events.hifis.net/event/1838/
URL:https://ddsa.dk/event/a-short-introduction-to-efficient-natural-language-processing/
LOCATION:Online
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2024/10/HIDA-Lecture-Series-on-AI1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240815T121000
DTEND;TZID=Europe/Copenhagen:20240815T125500
DTSTAMP:20260403T213528
CREATED:20240726T111338Z
LAST-MODIFIED:20240726T111520Z
UID:10001315-1723723800-1723726500@ddsa.dk
SUMMARY:AI and tech ethics: Why you should build socially sustainable products and services.
DESCRIPTION:This Applied AI Lunch Talk focuses on the ethical impacts of AI products and services. \nYou can join online by signing up here: https://stream.aidenmark.dk/applied-ai-lunch-talk-tess/join\nOr show up at DTU Skylab’s Auditorium (Centrifugevej 373D\, 2800 Lyngby) \nAbout the Talk: \nAI and tech ethics – Why you should build socially sustainable products and services. \nIn this talk\, Tess will introduce some of the most foundational frameworks for considering Ethics\, Representation\, and Social Sustainability as they relate to technology and ML/AI. The talk will leverage her substantial experience from a career that has taken her from Social Sustainability work\, through academia\, to leading the development of Product Ethics for a Fortune 50 Conglomerate. \nAbout the Speaker: \nTess Skadegård Thorsen\, PhD (she/her)\, is a researcher\, educator\, and consultant\, specialized in representation in tech and media. With a background in ESG/CSR consulting\, Tess has shaped her career around building socially sustainable products. She is particularly concerned with representativeness and bias in the development of technology. Tess was awarded the 2022 Kraka Award for Danish gender research. Her research has been published internationally and she has lectured across the world (Columbia University\, Pennsylvania State University\, Roskilde University\, Aalborg University\, Lund University\, Copenhagen University\, etc.). Tess was a summer fellow at the NYU Institute for Public Interest Technology\, and she formerly worked as the Director of Product Ethics at Comcast NBCUniversal. She serves as advisory board member to the Danish Pioneer Centre for AI and as a board member to multiple other organizations.
URL:https://ddsa.dk/event/ai-and-tech-ethics-why-you-should-build-socially-sustainable-products-and-services/
LOCATION:DTU Skylab\, Diplomvej 373D\, Kongens Lyngby\, 2800\, Denmark
CATEGORIES:Other Events
ORGANIZER;CN="DTU Skylab / Pioneer Centre for AI / AI Denmark":MAILTO:camjen@dtu.dk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240625T150000
DTEND;TZID=Europe/Copenhagen:20240625T160000
DTSTAMP:20260403T213528
CREATED:20240530T112714Z
LAST-MODIFIED:20240530T112714Z
UID:10001308-1719327600-1719331200@ddsa.dk
SUMMARY:HIDA Lectures @ MarDATA: Revolutionizing Ocean Science: Exploring Digital Twins
DESCRIPTION:Abstract: \nIn this HIDA Lecture\, Ute Brönner (SINTEF Ocean\, Norway) talks about the enormous potential of digital twins in ocean research. The National Academy of Sciences\, Engineering\, and Medicine defines a digital twin as a virtual construct that mimics the structure\, context\, and behaviour of a natural\, technical\, or social system and is dynamically updated with data from its physical twin. This bidirectional interaction between the virtual and physical system is crucial. Digital twins thus go beyond traditional digital applications by offering deeper integration and more comprehensive simulations. \nFor ocean science\, digital twins present unique challenges in the areas of data acquisition\, communication\, storage and standards\, and require advanced interactive user interfaces to explore different “what-if” scenarios. \nIn this talk\, Brönner will address these aspects and provide insights into the intersection of computer science and marine science. \nSpeaker: \nUte Brönner is a researcher at the Norwegian research institute SINTEF Ocean in Trondheim. With a background in mathematics and computer science\, she focuses on ocean observations and ecosystems within the climate and environment department. Since 2010\, Ute has been involved in environmental risk assessment for marine industries. She is passionate about integrating available data with both existing and new software to support decision-making and promote sustainable ocean use. \nUte Brönner is responsible for demonstrating pilot applications in the Digital Twins of the Ocean project\, Iliad\, an EU-funded initiative aimed at creating interoperable digital twins from existing ocean observatories and applications\, through an integrated digital framework for comprehensive maritime data and information services.
URL:https://ddsa.dk/event/hida-lectures-mardata-revolutionizing-ocean-science-exploring-digital-twins/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240613
DTEND;VALUE=DATE:20240614
DTSTAMP:20260403T213528
CREATED:20240424T084326Z
LAST-MODIFIED:20240424T084326Z
UID:10001174-1718236800-1718323199@ddsa.dk
SUMMARY:Responsible Conduct of Research 1: An Introduction
DESCRIPTION:Aim and content \n”Please note that you will be charged a course fee\, if you do not cancel your seat on time. Please read our  cancellation policy: https://healthsciences.ku.dk/phd/phd-courses/prices-and-fees \nThis course is only intended for newly enrolled PhD students and authors with permission to hand in a PhD thesis without prior enrolment at the Graduate School of Health and Medical Sciences at the University of Copenhagen. \nAnyone can apply for the course\, but if you are not a PhD student or author with permission to hand in a PhD thesis without prior enrolment at the Graduate School of Health and Medical Sciences\, you will be placed on the waiting list until the enrollment deadline has passed. After the enrolment deadline\, available seats will be allocated to the waiting list. \nThe course is free of charge for PhD students at Danish universities (except Copenhagen Business School).  All other participants must pay the course fee. \nCourse purpose \nThe purpose of the course is to inform about current norms of responsible conduct of research and enable reflection on how to apply these norms \nThe PhD student must be able to: \n– describe and discuss various forms of Research Misconduct: Fabrication\, Falsification\, and Plagiarism \n– describe how to draw the line between Research Misconduct and Questionable Research Practices \n– describe how allegations of Research Misconduct are raised and the principles for handling suspicions of Research Misconduct \n– describe national and international institutions handling Scientific Misconduct or dealing with Questionable Research Practices \nThe PhD student must be able to explain and apply norms of Responsible Conduct of Research for the following specific subjects: \n– Documentation of scientific results \n– Handling and keeping of scientific data \n– Authorship \n– Intellectual property rights \n– Conflicts of interest and commitment \n– Communication with the public \nFormat of the course \nThe RCR teaching lasts one day and consists of four modules. Each module combines a lecture with student interaction. \nEach course has about 45 participating PhD students. \nModule 1: Overview of the fieldA brief history and a presentation of the institutions dealing with Research Misconduct and Questionable Research Practices. \nModule 2: Authorship and the Vancouver GuidelinesPresentation of the norms regarding publication\, various kinds of deviations from these norms\, and handling of the many grey zone issues to which the application of these norms give rise. \nModule 3: Research data managementIntellectual property rights standards\, rights and duties. \nModule 4: Conflicts of interest and commitmentCommunication with the public. \nCurriculum \nThe course curriculum consists of the e-book\, RCR – A Danish textbook for courses in Responsible Conduct of Research\, by Karsten Klint Jensen\, Louise Whiteley and Peter Sandøe (eds.). \nGet the e-book: https://static-curis.ku.dk/portal/files/247440631/RCR_4_ed_2020_update.pdf \nAssignment \nIn order to pass the mandatory PhD course in responsible conduct of research\, you must hand in an assignment where you describe and discuss relevant issues from the curriculum in relation to your own research work. \nThe assessment of your assignment will be available in Absalon approximately a month after course date. Please check Absalon for your result. A check mark means passed\, and an X means you must re-write your assignment. Feedback and further instructions from the assessor will be given to you in Absalon in this situation. It Is your own responsibility to check in Absalon. \nFor each attempt\, you will receive a new deadline 2 weeks later for resubmission of your assignment. Overdue submission(s) will count as an attempt. If the assignment is not passed after three attempts\, you must participate in the RCR course again.  \nFollowing counts as attempts 1) if you miss submission date or must rewrite assignment (each rewrite counts as 1 attempt)\, 2) if you miss submission date on rewrite assignment\, and 3) if you submit after 3 months of course date. After 6 months of course date you fail the course.  \nRead more about the course and the assignment: http://healthsciences.ku.dk/phd/phd-courses/obligatoryintroductioncourse/ \nCourse Directors \nHead of Graduate School\, Professor Rikke Buhl (SUND) and Professor Peter Sandøe (SUND/SCIENCE). \nLocation \nOnline \nNote: All applicants are asked to submit invoice details in case of no-show\, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student\, your participation in the course must be in agreement with your principal supervisor. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/responsible-conduct-of-research-1-an-introduction/
LOCATION:Online
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240606T163000
DTEND;TZID=Europe/Copenhagen:20240606T173000
DTSTAMP:20260403T213528
CREATED:20240530T112638Z
LAST-MODIFIED:20240530T112638Z
UID:10001307-1717691400-1717695000@ddsa.dk
SUMMARY:HIDA Lecture: On New Security and Safety Challenges Posed by LLMs and How to Evaluate Them
DESCRIPTION:Abstract: \nThis online lecture delves into the pervasive integration of Large Language Models (LLMs) within numerous real-world applications\, presenting both expansive opportunities for assistance across diverse tasks and formidable challenges in terms of security and safety. In contrast to previous models characterized by static generation\, the dynamic\, multi-turn\, and adaptable nature of LLMs poses considerable difficulties for robust evaluation and control. Join us as we dissect the emergent risks associated with LLMs\, explore methodologies for rigorous evaluation\, and confront the complex obstacles involved in implementing effective mitigations. \nSpeaker \nSahar Abdelnabi is an AI security researcher at Microsoft Security Response Center (Cambridge\, UK). Previously\, she was a PhD candidate at CISPA Helmholtz Center for Information Security\, advised by Prof. Dr. Mario Fritz and she obtained her MSc degree at Saarland University. Her research interests lie in the broad intersection of machine learning with security\, safety\, and sociopolitical aspects. This includes the following areas: 1) Understanding and mitigating the failure modes of machine learning models\, their biases\, and their misuse scenarios. 2) How machine learning models could amplify or help counter existing societal and safety problems (e.g.\, misinformation\, biases\, stereotypes\, cybersecurity risks\, etc.). 3) Emergent challenges posed by new foundation and large language models.
URL:https://ddsa.dk/event/hida-lecture-on-new-security-and-safety-challenges-posed-by-llms-and-how-to-evaluate-them/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240507T140000
DTEND;TZID=Europe/Copenhagen:20240507T140000
DTSTAMP:20260403T213528
CREATED:20240405T082542Z
LAST-MODIFIED:20240405T082646Z
UID:10001054-1715090400-1715090400@ddsa.dk
SUMMARY:HIDA Lectures - Contextualizing LLMs
DESCRIPTION:This presentation focuses on the social impact of large language models. \nThe significance of generative AI for public discourse\, public administration or the creation of knowledge and art will be outlined and options for action will be discussed using technology assessment – in particular its focus on shaping technological futures and the inclusion of multiple perspectives. \n  \nTo read more and register\, please visit:https://www.helmholtz-hida.de/en/events/hida-lecture-contextualizing-llms/
URL:https://ddsa.dk/event/hida-lectures-contextualizing-llms/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240506T163000
DTEND;TZID=Europe/Copenhagen:20240506T173000
DTSTAMP:20260403T213528
CREATED:20240209T142824Z
LAST-MODIFIED:20240209T142824Z
UID:10000362-1715013000-1715016600@ddsa.dk
SUMMARY:Online learning and decision-making for renewables participating in electricity markets
DESCRIPTION:This is a talk given by Prof Pierre Pinson as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nThere is extensive literature on the analytics involved in the participation of renewable energy producers in electricity markets\, covering both forecasting and decision-making. In their simplest form\, participation strategies are to be seen as newsvendor problems (taking a decision-making perspective)\, or quantile regression problems (if taking a forecasting perspective instead). We will therefore explore recent advances at the interface between learning\, forecasting and stochastic optimisation of relevance to renewable energy producers participating in electricity markets. This will cover online learning and decision-making\, as well as distributionally robust optimisation. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/c4046bb5460245e48247284d998a25c2 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/online-learning-and-decision-making-for-renewables-participating-in-electricity-markets/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240422T163000
DTEND;TZID=Europe/Copenhagen:20240422T173000
DTSTAMP:20260403T213528
CREATED:20240209T113011Z
LAST-MODIFIED:20240209T113011Z
UID:10000361-1713803400-1713807000@ddsa.dk
SUMMARY:Integrating Stochastic Optimization and Machine Learning via Residuals
DESCRIPTION:This is a talk given by Prof Güzin Bayraksan as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nWe consider data-driven approaches that integrate a machine learning prediction model within stochastic optimization\, given joint observations of uncertain parameters and covariates. Given a new covariate observation\, the goal is to choose a decision that minimizes the expected cost conditioned on this observation. We first present a Sample Average Approximation (SAA) approach for approximating this problem that incorporates residuals from the learning step. Then\, in the limited-data regime\, we consider Distributionally Robust Optimization (DRO) variants of these models. Our framework is flexible in the sense that it can accommodate a variety of learning setups and DRO ambiguity sets. We investigate the asymptotic and finite sample properties of SAA and the DRO variants obtained using Wasserstein\, sample robust optimization\, and phi-divergence-based ambiguity sets. We discuss extensions to decision-dependent settings and present applications using real-world data. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/1b732023cea64e6da05b1e0d4d587578 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/integrating-stochastic-optimization-and-machine-learning-via-residuals/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240418T110000
DTEND;TZID=Europe/Copenhagen:20240418T120000
DTSTAMP:20260403T213528
CREATED:20240405T082416Z
LAST-MODIFIED:20240405T082416Z
UID:10001053-1713438000-1713441600@ddsa.dk
SUMMARY:HIDA Lectures - Hate Speech & AI
DESCRIPTION:In this talk\, the speaker will present some ethical considerations for dealing with hate speech. The main focus will be on how AI can help prevent the spread of hate speech and what problems this may cause. Two sets of issues need to be distinguished: firstly\, hate speech on social media platforms and secondly\, hate speech generated by LLMs. \nWhile in the one case thoughtless intervention can lead to censorship\, in the other there is a risk that innovation will be impaired. It is therefore important to identify convincing ethical compromises and find ways to implement them technically. \n  \nTo read more and register\, please visit: https://www.helmholtz-hida.de/en/events/hida-lecture-series-on-ai-and-large-language-models-1/ 
URL:https://ddsa.dk/event/hida-lectures-hate-speech-ai/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240408T163000
DTEND;TZID=Europe/Copenhagen:20240408T173000
DTSTAMP:20260403T213528
CREATED:20240209T142945Z
LAST-MODIFIED:20240209T142945Z
UID:10000364-1712593800-1712597400@ddsa.dk
SUMMARY:YOUNG Machine Learning NeEDS Mathematical Optimization Seminar
DESCRIPTION:This seminar consists of three talks\, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/ \nSpeaker: Cheng Peng\nTitle: Factor Model of Mixtures \nSpeaker: Haofeng Zhang\nTitle: Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective \nSpeaker: Giulia Di Teodoro\nTitle: Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/3ef5ca638bf54c85aee046eb54559d2e \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/young-machine-learning-needs-mathematical-optimization-seminar-4/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240318T163000
DTEND;TZID=Europe/Copenhagen:20240318T173000
DTSTAMP:20260403T213528
CREATED:20240209T112857Z
LAST-MODIFIED:20240209T112857Z
UID:10000360-1710779400-1710783000@ddsa.dk
SUMMARY:FunSearch: Discovering new mathematics and algorithms using Large Language Models
DESCRIPTION:This is a talk given by Dr Bernardino Romera Paredes as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nIn this talk I will present FunSearch\, a method to search for new solutions in mathematics and computer science. FunSearch works by pairing a pre-trained LLM\, whose goal is to provide creative solutions in the form of computer code\, with an automated “evaluator”\, which guards against hallucinations and incorrect ideas. By iterating back-and-forth between these two components\, initial solutions “evolve” into new knowledge. I will present the application of FunSearch to a central problem in extremal combinatorics — the cap set problem — where we discover new constructions of large cap sets going beyond the best known ones\, both in finite dimensional and asymptotic cases. This represents the first discoveries made for established open problems using LLMs. Then\, I will present the application of FunSearch to an algorithmic problem\, online bin packing\, which showcases the generality of the method. In this use case\, FunSearch finds new heuristics that improve upon widely used baselines. I will conclude the talk by discussing the implications of searching in the space of code. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/5cd1f5545f6642939131e5035de434d3 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/funsearch-discovering-new-mathematics-and-algorithms-using-large-language-models/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240318T130000
DTEND;TZID=Europe/Copenhagen:20240318T140000
DTSTAMP:20260403T213528
CREATED:20240304T094318Z
LAST-MODIFIED:20240304T094426Z
UID:10000377-1710766800-1710770400@ddsa.dk
SUMMARY:Join DDSA - Virtual Q&A Session
DESCRIPTION:Are you interested in being a part of our organization? Nomination is open for positions within our committees\, advisory panel or board. You are invited to participate in our ‘Join DDSA – virtual Q&A’ sessions where our Managing Director Sofie Inari Castella and 2 committee members will provide a general introduction to DDSA and answer any questions you may have! \nOn March 18. we will be accompanied by Jacob Ramlov Jensen from the Education and Networking Committee and Dolores Romero Morales from the Fellowship and Evaluation Committee \nMicrosoft Teams link: https://bit.ly/3vDsgRp 
URL:https://ddsa.dk/event/join-ddsa-virtual-qa-session-2/
LOCATION:Online
CATEGORIES:DDSA-Organised Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240314T120000
DTEND;TZID=Europe/Copenhagen:20240314T130000
DTSTAMP:20260403T213528
CREATED:20240226T073220Z
LAST-MODIFIED:20240226T075940Z
UID:10000371-1710417600-1710421200@ddsa.dk
SUMMARY:Applied AI Lunch Talks - Tetatet & DemensAI
DESCRIPTION:Applied AI Lunch Talks are a series of free talks where people from industry\, academia\, and the startup world get together to learn more about the business cases\, technical challenges\, ethical aspects relevant for specific applied AI use cases. \nOn March 14th 12:00-13:00 you can attend the following two talks – either online or at DTU Skylab: \nTALK 1: \n“AI for Mental Health” \nThis talk presents research in AI for emotion recognition and behavioral coding and how it can be used in mental health. The applications in health include research in psychiatry\, an emotionally aware AI coach\, and couple therapy. The talk will also discuss ethical concerns like biases in AI. \nTALK 1 SPEAKER: \nLine Clemmensen\, Co-founder\, CTO of Tetatet\, Associate Professor at DTU Compute \nLine is a Professor at DTU Compute\, co-founder and CSO of Tetatet\, and co-founding Soil. Her research is focused on machine learning and artificial intelligence with applications in psychiatry\, amongst other. \nTALK 2: \nHow can dementia be detected in speech with AI? The DemensAI approach \nWith over 55 million people affected worldwide and ranking as the 7th leading cause of death\, dementia represents a significant health challenge. However\, the healthcare system is under enormous pressure and is looking for better tools and innovative solutions to streamline diagnosis without adding to the workload.  This talk focuses on how DemensAI offers a passive\, AI-driven approach to dementia detection. By analyzing speech in a non-intrusive way\, DemensAI helps to lighten the workload for doctors and clinicians.  We will discuss the challenges of the current diagnostic system and explore the potential of speech as a window into brain cognition with AI. \nTALK 2 SPEAKERS : \nLaurine Dargaud\, CTO of DemensAI \nLaurine is co-founder and CTO of DemensAI. She holds a DTU MSc degree in Human-Centered Artificial Intelligence\, and she developed the proof of concept for DemensAI: a speech-based model that can detect Alzheimer’s disease based on a voice recording of picture description. \nAbhista Partal\, CSO of DemensAI \nAbhista is co-founder and Chief Scientific Officer of DemensAI. He holds a DTU MSc degree in Autonomous Systems\, with a specialization in Explainable AI. Abhista is dedicated to AI research and development at DemensAI\, experimenting with the latest speech and language models to improve dementia detection.
URL:https://ddsa.dk/event/applied-ai-lunch-talks-tetatet-og-demensai/
LOCATION:DTU Skylab\, Diplomvej 373D\, Kongens Lyngby\, 2800\, Denmark
CATEGORIES:Other Events
ORGANIZER;CN="DTU Skylab / Pioneer Centre for AI / AI Denmark":MAILTO:camjen@dtu.dk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240311T163000
DTEND;TZID=Europe/Copenhagen:20240311T173000
DTSTAMP:20260403T213528
CREATED:20240209T112651Z
LAST-MODIFIED:20240226T080447Z
UID:10000359-1710174600-1710178200@ddsa.dk
SUMMARY:Role of Analytics Professionals in Building a Data Driven Culture
DESCRIPTION:This is a talk given by Dr Pooja Dewan as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nThis talk is going to focus on the value of Data Ecosystems\, Starting with the business outcome\, Composition of teams\, and evolving skills needed to take Algorithms in R&D to Commercial Reality and building a Data Driven Culture and creating impact. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/8d60cb95de7e431e83be6381f82e4e23 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/role-of-analytics-professionals-in-building-a-data-driven-culture/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240306T133000
DTEND;TZID=Europe/Copenhagen:20240306T143000
DTSTAMP:20260403T213528
CREATED:20240304T094033Z
LAST-MODIFIED:20240304T094501Z
UID:10000376-1709731800-1709735400@ddsa.dk
SUMMARY:Join DDSA - Virtual Q&A Session
DESCRIPTION:Are you interested in being a part of our organization? Nomination is open for positions within our committees\, advisory panel or board. You are invited to participate in our ‘Join DDSA – virtual Q&A’ sessions where our Managing Director Sofie Inari Castella and 2 committee members will provide a general introduction to DDSA and answer any questions you may have! \nOn March 6. we will be accompanied by Lisbeth Fajstrup from the Education and Networking Committee and Jes Frellsen from the Fellowship and Evaluation Committee \nMicrosoft Teams link: https://bit.ly/3HfLwXK
URL:https://ddsa.dk/event/join-ddsa-virtual-qa-session/
LOCATION:Online
CATEGORIES:DDSA-Organised Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240304T163000
DTEND;TZID=Europe/Copenhagen:20240304T173000
DTSTAMP:20260403T213528
CREATED:20240209T142909Z
LAST-MODIFIED:20240209T142909Z
UID:10000363-1709569800-1709573400@ddsa.dk
SUMMARY:YOUNG Machine Learning NeEDS Mathematical Optimization Seminar
DESCRIPTION:This seminar consists of three talks\, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/ \nSpeaker: Nathan Justin\nTitle: Learning Optimal Classification Trees Robust to Distribution Shifts \nSpeaker: José Ángel Martín Baos\nTitle: Can machine learning methods effectively model travel mode choice? Beyond predictive performance \nSpeaker: Ioana Molan\nTitle: Learning the Follower’s Objective Function in Sequential Bilevel Games \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/f36b823fbfc74849848d66808d8db459 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/young-machine-learning-needs-mathematical-optimization-seminar-3/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240226T163000
DTEND;TZID=Europe/Copenhagen:20240226T173000
DTSTAMP:20260403T213528
CREATED:20240209T112600Z
LAST-MODIFIED:20240209T112600Z
UID:10000358-1708965000-1708968600@ddsa.dk
SUMMARY:Learning and Optimization: Separate or Integrate?
DESCRIPTION:This is a talk given by Prof Nathan Kallus as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nPredictive side information (aka context) makes optimization under uncertainty less uncertain\, but leveraging it requires we learn a potentially complex predictive relationship. We might use off-the-shelf ML methods for this\, but their training process ignores the downstream optimization task where the model would be plugged in. Instead\, we can train the model in an end-to-end fashion to optimize the downstream costs of the decisions it would induce. In this talk I will tackle the question\, which is better? That is\, should we separate or integrate the learning and optimization tasks? I show that in linear problems\, where we only care to learn the mean-prediction (aka regression) function\, the naive separated approach surprisingly has regret that vanishes orders faster than end-to-end methods — a consequence of real problems not having arbitrarily bad near-dual-degeneracy. However\, for general (nonlinear) contextual optimization\, which involves the hard-to-learn conditional-probability-prediction function\, it may be better to bypass learning this complex object by integrating the tasks and directly learning a decision policy. I show how to do this tractably near-optimally for tree-based policies and build scalable decision forests using approximate splitting criteria based on second-order optimization perturbation analysis. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/5f6b2827c847432ab35034deb752df08 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/learning-and-optimization-separate-or-integrate/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240219T163000
DTEND;TZID=Europe/Copenhagen:20240219T173000
DTSTAMP:20260403T213528
CREATED:20240209T112521Z
LAST-MODIFIED:20240209T112521Z
UID:10000357-1708360200-1708363800@ddsa.dk
SUMMARY:Risk Quadrangle and Applications: Support Vector Regression (SVR)
DESCRIPTION:This is a talk given by Prof Stan Uryasev as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nThe Support Vector Regression (SVR) is investigated in the Risk Quadrangle framework. ε-SVR and ν-SVR\, correspond to the minimization of equivalent error measures (Vapnik error and CVaR norm) with a regularization. These two error measures\, define corresponding Risk Quadrangles. We show that SVR is an asymptotically unbiased estimator of the average of two symmetric conditional quantiles. Equivalence of ε-SVR and ν-SVR follows from the quadrangle framework. SVR is formulated as a deviation minimization with a regularization penalty by applying Error Shaping Decomposition of Regression. Moreover\, f-Divergence Quadrangle implies that SVR is a robust variant of the mean-absolute regression with regularization. Finally\, the dual formulation of SVR is derived. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/a4b0f61d3ca245c28f1a4b183a48b800 \nOrganizers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/risk-quadrangle-and-applications-support-vector-regression-svr/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240214T110000
DTEND;TZID=Europe/Copenhagen:20240214T120000
DTSTAMP:20260403T213528
CREATED:20240109T152019Z
LAST-MODIFIED:20240109T152019Z
UID:10000214-1707908400-1707912000@ddsa.dk
SUMMARY:HIDA Lectures - Ally or Adversary: Examining the Impact of Large Language Models on Academics and Academic Work
DESCRIPTION:The unveiling of ChatGPT sparked extensive discussions on its implications for science. This lecture will delve into the dynamic interplay between Large Language Models (LLMs) and the academic landscape\, exploring their potential benefits as well as the risks they pose to the science system and academic profession. Through the examination of empirical data\, ethical questions concerning this technology will be unpacked\, in addition to the ways LLMs may contribute to the creative\, analytical and administrative tasks in academic work. Through this discussion\, we will reflect on broader questions concerning the changing role of academics in the increasingly digitalized world and how this digital transformation is both embraced and met with resistance. \n  \nTo read more and register\, please visit: https://www.helmholtz-hida.de/en/events/hida-lecture-series-on-ai-and-large-language-models/ 
URL:https://ddsa.dk/event/hida-lectures-ally-or-adversary-examining-the-impact-of-large-language-models-on-academics-and-academic-work/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20240212T163000
DTEND;TZID=Europe/Copenhagen:20240212T173000
DTSTAMP:20260403T213528
CREATED:20240209T112422Z
LAST-MODIFIED:20240209T112422Z
UID:10000356-1707755400-1707759000@ddsa.dk
SUMMARY:Decentralized Bilevel Optimization
DESCRIPTION:This is a talk given by Prof Shiqian Ma as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\, https://congreso.us.es/mlneedsmo/\, branding the role of Operations Research in Artificial Intelligence with the support of EURO\, https://www.euro-online.org. \nAbstract: \nBilevel optimization has received tremendous attention recently due to its great success in machine learning applications such as meta learning\, reinforcement learning\, and hyperparameter optimization. In this talk\, we discuss recent advances on bilevel optimization algorithms in decentralized networks. We will address the issues of how to estimate the hypergradient in decentralized networks\, how to design single-loop algorithms\, and how to improve the per-iteration complexity using moving average techniques\, etc. \nMore information \nLink to the talk: https://eu.bbcollab.com/guest/16aa78a6789c46c39744a51293653b13 \nOrganisers \nThe organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization\nEmilio Carrizosa\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nNuria Gómez-Vargas\, IMUS-Instituto de Matemáticas de la Universidad de Sevilla\nThomas Halskov\, Copenhagen Business School\nDolores Romero Morales\, Copenhagen Business School
URL:https://ddsa.dk/event/decentralized-bilevel-optimization/
LOCATION:Online
CATEGORIES:Other Events
END:VEVENT
END:VCALENDAR