Showing 1–20 of 39 results
/ Date/ Name
Feb 14, 2020Learning to rank for uplift modelingJan 25, 2022Probability estimation and structured output prediction for learning preferences in last mile deliveryMay 20, 2022Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying LensDec 7, 2021Decision-Focused Learning: Through the Lens of Learning to RankAug 15, 2025Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable OptimizationOct 6, 2025Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the ConstraintsMay 25, 2021Efficiently Explaining CSPs with Unsatisfiable Subset OptimizationJan 11, 2021Learn-n-Route: Learning implicit preferences for vehicle routingJul 25, 2023Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesNov 22, 2019Smart Predict-and-Optimize for Hard Combinatorial Optimization ProblemsAug 10, 2021Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRPDec 21, 2018Solution Dominance over Constraint Satisfaction ProblemsOct 26, 2020Interior Point Solving for LP-based prediction+optimisationJun 11, 2020A framework for step-wise explaining how to solve constraint satisfaction problemsJun 6, 2025DCP-Bench-Open: Evaluating LLMs for Constraint Modelling of Discrete Combinatorial ProblemsMar 21, 2023Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples)Nov 13, 2025Preference Elicitation for Step-Wise Explanations in Logic PuzzlesJul 12, 2023Guided Bottom-Up Interactive Constraint AcquisitionDec 17, 2023Learning to Learn in Interactive Constraint AcquisitionOct 26, 2023Leveraging Contextual Information for Robustness in Vehicle Routing Problems