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posterior distribution

314 papers

Papers

Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights JMLR 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation ICCV 2025 The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions CLeaR 2025 Variational Bayesian Pseudo-Coreset ICLR 2025 Variational Phylogenetic Inference with Products over Bipartitions ICML 2025 VITS : Variational Inference Thompson Sampling for contextual bandits ICML 2024 A Generalized Bayesian Approach to Distribution-on-Distribution Regression UAI 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 Amortizing intractable inference in large language models ICLR 2024 Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024 Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures ICLR 2024 Better-than-KL PAC-Bayes Bounds COLT 2024 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 Challenges and Considerations in the Evaluation of Bayesian Causal Discovery ICML 2024 Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities ICLR 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NeurIPS 2024 Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing ICML 2024 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NeurIPS 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024