Machine Learning Needs Mathematical Optimization With Prof Misener - Detailed Analysis
Abstract. This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing ... Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ... Machine Learning NeEDS Mathematical Optimization Abstract: We propose a new diffusion-asymptotic analysis for sequentially randomized experiments. Rather than taking sample ... Abstract: We give a tour through some random forests (RF) and, review Abstract: As automated data analysis supplements and even replaces human supervision in consequential decision-making (e.g., ...
Title: Tactical Planning under Imperfect Information: A Fast Matheuristic for Two-Stage Stochastic Programs Through Supervised ... Abstract: In this talk, we discuss how a careful use of Abstract: We present theoretical and computational results relating to a set of works where we apply random projection techniques ... Abstract: In this talk, we introduce methods that remove the barrier for applying neural networks in real-life power systems, and ...
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