סמינרים
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Aligning Machine Learning with Society
Machine Learning (ML) systems are increasingly integrated into society, but challenges arise when human incentives and expectations are overlooked. In this talk, I will present frameworks for aligning ML with society, focusing on strategic classification and personalization in decision making. Strategic classification models scenarios where individuals, aware of the deployed classifier, manipulate their observable attributes… Continue Reading Aligning Machine Learning with Society
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Aligning Machine Learning with Society
Abstract: Machine Learning (ML) systems are increasingly integrated into society, but challenges arise when human incentives and expectations are overlooked. In this talk, I will present frameworks for aligning ML with society, focusing on strategic classification and personalization in decision-making. Strategic classification models scenarios where individuals, aware of the deployed classifier, manipulate their observable attributes… Continue Reading Aligning Machine Learning with Society
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Robust and Actionable ML via Causality
Abstract: Artificial Intelligence is increasingly deployed in high-stakes fields such as healthcare, where two critical challenges emerge: models must generalize to real-world variations and their predictions must be actionable for decision-makers. The generalization challenge arises when AI is applied to data that differs from its training set, a phenomenon known as distribution shift. The actionability challenge… Continue Reading Robust and Actionable ML via Causality
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Robust and Actionable ML via Causality
Abstract: Artificial Intelligence is increasingly deployed in high-stakes fields such as healthcare, where two critical challenges emerge: models must generalize to real-world variations and their predictions must be actionable for decision-makers. The generalization challenge arises when AI is applied to data that differs from its training set, a phenomenon known as distribution shift. The actionability challenge… Continue Reading Robust and Actionable ML via Causality
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Optimizing Dynamic Systems: From Effective and Equitable Distribution to Coordinated Two-Stage Order Fulfillment
Abstract: Dynamic decision-making under uncertainty is a central challenge in several domains such as logistics, warehousing, and production systems. This talk introduces hybrid operations research (OR) and machine learning (ML) methodologies designed to optimize stochastic dynamic combinatorial problems. The first part of the talk focuses on making real-time routing and resource allocation decisions, ensuring effective and equitable distribution in uncertain… Continue Reading Optimizing Dynamic Systems: From Effective and Equitable Distribution to Coordinated Two-Stage Order Fulfillment
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Algorithms for Structured Simple Bilevel Problems
Abstract: Simple convex bilevel optimization problems, in which we seek to minimize an (outer) objective function over a feasible set, which itself is the set of minimizers of another (inner) function. Such problems can be found in the machine learning and signal processing applications. In this work, we address the case where both outer and… Continue Reading Algorithms for Structured Simple Bilevel Problems
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Explaining Model Behavior Across Space and Time: Differential and Intertemporal Explanations
Abstract: We introduce the notion of differential explanation as information provided to users of machine learning models that explains why a model assigns different values to two observations. We propose a model-agnostic feature importance method based on SHapley Additive exPlanations (Lundberg and Lee 2017), to generate such explanations that can be viewed as its generalization.… Continue Reading Explaining Model Behavior Across Space and Time: Differential and Intertemporal Explanations
אנשים
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בהר יואכים
Associate Professor Joachim A. Behar joined the faculty of Biomedical Engineering in 2029 and the faculty of Data and Decision Sciences in 2025. He received his Ph.D. in Biosignal Processing and Medical Machine Learning from Oxford University in 2015. has held a Post-Doctoral position at the Technion during the years 2015-2018 in mathematical modelling. His research… Continue Reading בהר יואכים
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