bayesian inference

Model-based Validation as Probabilistic Inference L4DC 2023 Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems JMLR 2023 Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NeurIPS 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 On Masked Pre-training and the Marginal Likelihood NeurIPS 2023 On the Convergence of Black-Box Variational Inference NeurIPS 2023 On the geometry of Stein variational gradient descent JMLR 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 Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NeurIPS 2023 Physics-Guided Active Learning of Environmental Flow Fields L4DC 2023 Planning with Hidden Parameter Polynomial MDPs AAAI 2023 Pointwise sampling uncertainties on the Precision-Recall curve AISTATS 2023 Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023 Precision/Recall on Imbalanced Test Data AISTATS 2023 Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023 Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NeurIPS 2023 Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023 Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation AAAI 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023