bayesian decision theory

Robust Bayesian Decision Making under Adversarial Uncertainty UAI 2026 Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026 Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability AISTATS 2025 Learning Accurate and Interpretable Decision Trees (Extended Abstract) IJCAI 2025 On Subjective Uncertainty Quantification and Calibration in Natural Language Generation AISTATS 2025 Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs UAI 2024 Minimax-Bayes Reinforcement Learning AISTATS 2023 The neural dynamics of word recognition and integration EMNLP 2023 Instance Selection: A Bayesian Decision Theory Perspective AAAI 2022 Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation EMNLP 2022 Event Outlier Detection in Continuous Time ICML 2021 All your loss are belong to Bayes NeurIPS 2020 Variational Bayesian Decision-making for Continuous Utilities NeurIPS 2019 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NeurIPS 2016 On-the-Job Learning with Bayesian Decision Theory NeurIPS 2015 Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015 Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case CVPR 2014 Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NeurIPS 2012 Approximate inference for the loss-calibrated Bayesian AISTATS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007