Integrating Stochastic Optimization and Machine Learning via Residuals

Online Copenhagen

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. Abstract: We consider data-driven approaches that integrate a machine learning prediction model within stochastic optimization, given joint observations […]

Free

YOUNG Machine Learning NeEDS Mathematical Optimization Seminar

Online Copenhagen

This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Speaker: Cheng Peng Title: Factor Model of Mixtures Speaker: Haofeng Zhang Title: Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Speaker: Giulia Di Teodoro Title: Unboxing Tree Ensembles for interpretability: a hierarchical visualization […]

Free

FunSearch: Discovering new mathematics and algorithms using Large Language Models

Online Copenhagen

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. Abstract: In this talk I will present FunSearch, a method to search for new solutions in mathematics […]

Free

Join DDSA – Virtual Q&A Session

Online Copenhagen

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 […]

Applied AI Lunch Talks – Tetatet & DemensAI

DTU Skylab Diplomvej 373D, Kongens Lyngby, Denmark +1 more

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. On March 14th 12:00-13:00 you can attend the following two talks - either online or at […]

Role of Analytics Professionals in Building a Data Driven Culture

Online Copenhagen

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. Abstract: This talk is going to focus on the value of Data Ecosystems, Starting with the business outcome, […]

Free

Join DDSA – Virtual Q&A Session

Online Copenhagen

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 […]

YOUNG Machine Learning NeEDS Mathematical Optimization Seminar

Online Copenhagen

This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Speaker: Nathan Justin Title: Learning Optimal Classification Trees Robust to Distribution Shifts Speaker: José Ángel Martín Baos Title: Can machine learning methods effectively model travel mode choice? Beyond predictive performance Speaker: Ioana Molan Title: Learning the […]

Free

Learning and Optimization: Separate or Integrate?

Online Copenhagen

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. Abstract: Predictive side information (aka context) makes optimization under uncertainty less uncertain, but leveraging it requires we learn […]

Free

Risk Quadrangle and Applications: Support Vector Regression (SVR)

Online Copenhagen

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. Abstract: The Support Vector Regression (SVR) is investigated in the Risk Quadrangle framework. ε-SVR and ν-SVR, correspond to […]

Free

HIDA Lectures – Ally or Adversary: Examining the Impact of Large Language Models on Academics and Academic Work

Online Copenhagen

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 […]

Decentralized Bilevel Optimization

Online Copenhagen

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. Abstract: Bilevel optimization has received tremendous attention recently due to its great success in machine learning applications such […]

Free

APPLIED AI LUNCH TALKS – FORCE TECHNOLOGY AND THE EUROPEAN TESTING AND EXPERIMENTATION FACILITY (TEF)

DTU Skylab Diplomvej 373D, Kongens Lyngby, Denmark +1 more

THE TALKS Physical Informed Neural Network for hybrid condition monitoring At FORCE Technology we are investigating how to improve hybrid testing, by using machine learning as an approach to address the complex challenges in condition monitoring. We are integrating advanced neural network techniques with an understanding of the underlying physical principles, this cutting-edge methodology offers […]

Free

Adaptive Transport Systems through Operations Research, Behavioral Modeling and Machine Learning

Online Copenhagen

This is a talk given by Prof Bilge Atasoy 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. Abstract: Operations Research, Behavioral Modeling and Machine Learning need to work hand in hand to reach adaptive transport […]

An interior-point solver for large structured optimization and (data science and alternative) applications

Online Copenhagen

This is a talk given by Prof Jordi Castro 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. Abstract: Interior point methods (IPMs) have shown to behave very well in some classes of large structured optimization […]

Free

Scientific challenges, practical methodologies and policy perspectives for trustworthy AI

Online Copenhagen

This is a talk given by Emilia Gomez 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. Abstract: This talk addresses the links between academic research, engineering practices and policy perspectives in the field of trustworthy […]

Free

The Minimum Sum-of-Squares Clustering Problem: Robustification and Global Optimization Techniques

Online Copenhagen

This is a talk given by Prof Martin Schmidt 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. Abstract: The minimum sum-of-squares clustering (MSSC) problem is an important problem in data mining and (unsupervised) machine learning […]

Free

Danish National Championship in AI

Online Copenhagen

Take part in this year’s AI Event for students! We would like to invite university students to participate in a weeklong AI-focused hackathon. You will be presented with three very different assignments putting both your AI competencies and your creativity to the test. Are you worthy to claim the title “Danish National Champion in AI […]

Danish National Championship in AI – Registration Deadline

Online Copenhagen

Take part in this year’s AI Event for students! We would like to invite university students to participate in a weeklong AI-focused hackathon. You will be presented with three very different assignments putting both your AI competencies and your creativity to the test. Are you worthy to claim the title “Danish National Champion in AI […]

Smart Predict-then Optimize for Contextual Linear Optimization: Theory and Computation

Online Copenhagen

This is a talk given by Prof Adam Elmachtoub 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. Abstract: A standard problem for any analytics researcher or practitioner is to first predict unknown parameters using a […]

Free

Challenges of Combining Forecasts from Correlated Sources

Online Copenhagen

This is a talk given by Prof Yael Grushka-Cockayne 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. Abstract: In this talk, we will explore some challenges with forming a consensus forecast when combining forecasts from […]

Free

Metrizing Fairness

Online Copenhagen

This is a talk given by Prof Daniel Kuhn 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. Abstract: The last decade has witnessed a surge of algorithms that have a consequential impact on our daily […]

Free
Event Series Applied AI Lunch Talks

Applied AI Lunch Talk – ROCKWOOL & Implement

DTU Skylab Diplomvej 373D, Kongens Lyngby, Denmark +1 more

THE TALKS Utilizing AI/ML in large manufacturing processes (ROCKWOOL) As we navigate the fourth industrial revolution, the integration of artificial intelligence and machine learning has revolutionized how we optimize production, enhance quality control, and streamline operations. Join us for a talk where Shabab, Senior Data Scientist at ROCKWOOL A/S, will discuss and explore the challenges […]

Free

Outcome Reasoning: the under-discussed engine powering black box development

Online Copenhagen

This is a talk given by Prof Mike Baiocchi 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. Abstract: For a long time in (bio)statistics we only had two fundamental ways of reasoning using data: […]

Free

Call for Submissions for the Nordic AI Meet 2023

Online Copenhagen

The Nordic AI Meet Nordic AI meet is a pan Nordic initiative to bring the PhD students from the Nordic countries together on a single platform to exchange research ideas and build collaboration. The Nordic AI Meet takes place in Copenhagen October 2-3, 2023. More information about the conference https://nordicaimeet.com/ Submission Guidelines Young researchers in […]

Bridging Matching, Regression, and Weighting as Mathematical Programs for Causal Inference

Online Copenhagen

This is a talk given by Prof José Ramón Zubizarreta as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Abstract A fundamental principle in the design of observational studies is to approximate the randomized experiment that would have been conducted under controlled circumstances. Across the health and social sciences, statistical methods […]

Tactical Planning under Imperfect Information: A Fast Matheuristic for Two-Stage Stochastic Programs Through Supervised Learning

Online Copenhagen

This is a talk given by Prof Emma Frejinger as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Abstract: In practice, it is often essential to take operational decisions and constraints into account when solving tactical decision-making problems. However, at the tactical level, there is imperfect information about the operational decision-making […]

YOUNG Machine Learning NeEDS Mathematical Optimization Seminar

Online Copenhagen

This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Speaker: Dr Farzaneh Pourahmadi Title: Data-driven Warm-start for Accelerating Short-term Scheduling Speaker: Dr Brais González Rodríguez Title: Learning for Spatial Branching: An Algorithm Selection Approach Speaker: Jiachang Liu Title: FasterRisk: Fast and Accurate Interpretable Risk Scores […]

Applications of Interior Point methods: from Sparse Approximations to Discrete Optimal Transport

Online Copenhagen

This is a talk given by Prof Jacek Gondzio as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Abstract: A variety of problems in modern applications of optimization require a selection of a ‘sparse’ solution, a vector with preferably few nonzero entries. Such problems may originate from very different applications in […]

YOUNG Machine Learning NeEDS Mathematical Optimization Seminar

Online Copenhagen

This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Speaker: Alexandre Forel Title: Explainable Data-Driven Optimization: From Context to Decision and Back Again Speaker: Tabea Röber Title: Empowering the User: Finding Regions of Counterfactual Explanations via Robust Optimization Speaker: Defeng Liu Title: Revisiting local branching […]

Submodular maximization of concave utility functions composed with a set-union operator

Online Copenhagen

This is a talk given by Prof Ivana Ljubic as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Abstract Many important applications in machine learning deal with submodular maximization. Indeed, finding a subset of data points to train neural networks, determining which data points to label to train a classifier, identifying […]

Selling personalized upgraded substitutes and co-purchases in online grocery retail

Online Copenhagen

This is a talk given by Prof Gah-Yi Ban as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Abstract In this paper, we investigate how an online grocery retailer can make personalized recommendations for upgraded substitutes and co-purchases as a customer adds items to their shopping basket. Of particular interest is […]

Implicit regularization and first order optimization methods

Online Copenhagen

This is a talk given by Prof Silvia Villa as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/ Abstract First order optimization methods are the algorithms of choice for modern machine earning and inverse problems. In this talk, I will show that the trajectories generated by the chosen algorithm, if suitably […]

Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks

Online Copenhagen

This is a talk given by Simge Kucukyavuz as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization Abstract Bayesian Networks (BNs) represent conditional probability relations among a set of random variables (nodes) in the form of a directed acyclic graph (DAG), and have found diverse applications in knowledge discovery. We study the […]

Mentee Registration Deadline – DDSA Mentoring Programme Spring 2023 Edition

Online Copenhagen

Are you an experienced data scientist who would like to share your experiences with an aspiring data scientist as a mentee? Or are you an aspiring data scientist looking for a mentor? Danish Data Science Academy is excited to announce the launch of the second edition of the DDSA Mentoring Programme in the spring of […]

Free

Mentor Registration Deadline – DDSA Mentoring Programme Spring 2023 Edition

Online Copenhagen

Are you an experienced data scientist who would like to share your experiences with an aspiring data scientist as a mentee? Or are you an aspiring data scientist looking for a mentor? Danish Data Science Academy is excited to announce the launch of the second edition of the DDSA Mentoring Programme in the spring of […]

Free