bayesian inference

Should We Learn Most Likely Functions or Parameters? NeurIPS 2023 Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems AISTATS 2023 SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023 State and parameter learning with PARIS particle Gibbs ICML 2023 Statistical Foundations of Prior-Data Fitted Networks ICML 2023 Structure Learning with Adaptive Random Neighborhood Informed MCMC NeurIPS 2023 Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second ICLR 2023 Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NeurIPS 2023 The Bayesian Learning Rule JMLR 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023 The Fine Print on Tempered Posteriors ACML 2023 The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation EMNLP 2023 The Lie-Group Bayesian Learning Rule AISTATS 2023 The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data NeurIPS 2023 Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023 Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023 TopWORDS-Poetry: Simultaneous Text Segmentation and Word Discovery for Classical Chinese Poetry via Bayesian Inference EMNLP 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023 Transport Elliptical Slice Sampling AISTATS 2023 Transport Reversible Jump Proposals AISTATS 2023 Uncertain Evidence in Probabilistic Models and Stochastic Simulators ICML 2023