Decision Making

Decision-Focused Evaluation of Worst-Case Distribution Shift UAI 2024 Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces ICLR 2024 Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs EMNLP 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 End-to-end Conditional Robust Optimization UAI 2024 End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty UAI 2024 Enhancing Robotics with Cognitive Capabilities AAAI 2024 Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NeurIPS 2024 Fair Classifiers that Abstain without Harm ICLR 2024 Generalized Expected Utility as a Universal Decision Rule – A Step Forward UAI 2024 General Markov Model for Solving Patrolling Games UAI 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 Inference for Optimal Linear Treatment Regimes in Personalized Decision-making UAI 2024 Irrelevant Alternatives Bias Large Language Model Hiring Decisions EMNLP 2024 Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NeurIPS 2024 Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems EMNLP 2024 Learning GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems NeurIPS 2024 Learning to Make Adherence-aware Advice ICLR 2024 LIMID Quality Control Models for Increasing Failure Rate Processes PGM 2024 Making AI Policies Transparent to Humans through Demonstrations AAAI 2024 Modelling Shared Decision Making Interactions using Influence Diagrams PGM 2024 Moral Uncertainty and the Problem of Fanaticism AAAI 2024 Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning AAAI 2024