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 […]

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 […]

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 […]

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 […]

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 […]

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: 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 […]

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 […]

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 […]

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: […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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

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 […]

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 […]

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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 […]

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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 […]

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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 […]

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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, […]

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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 […]

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