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An AI Approach to Underspecified Combinatorial Optimisation Problems

GERAD Research Center via YouTube

Overview

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This GERAD Research Center seminar, jointly organized with IVADO, explores an AI approach to underspecified combinatorial optimization problems. Learn how intelligent systems can handle less well-defined optimization challenges by leveraging data or user interaction. Discover recent developments in decision-focused learning, including regression models that backpropagate through non-differentiable solvers, preference learning over historic solutions, user preference elicitation, explainable constraint solving, and LLM-based modeling support tools. The presentation covers research from the ERC Consolidator grant "Conversational Human-Aware Technology for Optimisation" (CHAT-Opt), led by KU Leuven researcher Tias Guns. The seminar is scheduled for May 26, 2025.

Syllabus

An AI approach to underspecified combinatorial optimisation problems, Tias Guns

Taught by

GERAD Research Center

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