Bayesian Inference

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making NeurIPS 2023 Open Set Action Recognition via Multi-Label Evidential Learning CVPR 2023 Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023 Optimal Budget Allocation for Crowdsourcing Labels for Graphs UAI 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023 Optimal Preconditioning and Fisher Adaptive Langevin Sampling NeurIPS 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NeurIPS 2023 Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023 Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NeurIPS 2023 Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023 Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NeurIPS 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NeurIPS 2023 PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023 PAC-Bayesian Offline Contextual Bandits With Guarantees ICML 2023 PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent EMNLP 2023 Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NeurIPS 2023 Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NeurIPS 2023 Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint NeurIPS 2023 Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks EACL 2023 {PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023 PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023 Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts AAAI 2023 Physics-Guided Active Learning of Environmental Flow Fields L4DC 2023 Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography CVPR 2023