decision theory

42 papers

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Co-occurring keywords

preference learning (411) decision making (173) influence diagram (15) rational choice (3) partially observable markov decision process (176) expected utility (16) probabilistic graphical model (226) acquisition function (129) multi-agent system (1743) bayesian inference (1904)

Papers

Case-Based Decision-Theoretic Decoding with Quality Memories EMNLP 2025

PersonaGym: Evaluating Persona Agents and LLMs EMNLP 2025

Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis INTERSPEECH 2024

Approximation Algorithms for Preference Aggregation Using CP-Nets AAAI 2024

A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024

Moral Uncertainty and the Problem of Fanaticism AAAI 2024

Reciprocal Learning NIPS 2024

Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023

R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023

Quantifying Harm IJCAI 2023

Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023

qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023

Hedging as Reward Augmentation in Probabilistic Graphical Models NIPS 2022

Group Wisdom at a Price: Jury Theorems with Costly Information IJCAI 2022

A Complete Criterion for Value of Information in Soluble Influence Diagrams AAAI 2022

Generalizing Bayesian Optimization with Decision-theoretic Entropies NIPS 2022

Foundations of Bayesian Learning from Synthetic Data AISTATS 2021

Apparently Irrational Choice as Optimal Sequential Decision Making AAAI 2021

Modeling Risky Choices in Unknown Environments ACML 2021

Alternative Microfoundations for Strategic Classification ICML 2021

Reinforcement Learning in Newcomblike Environments NIPS 2021

Uncertain Decisions Facilitate Better Preference Learning NIPS 2021

Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis ACML 2020