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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Compositional Score Modeling for Simulation-Based Inference ICML 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023
Scale-Invariant Infinite Hierarchical Topic Model ACL 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension JMLR 2023
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design ICML 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023
Unscented Autoencoder ICML 2023
Automatically marginalized MCMC in probabilistic programming ICML 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Input uncertainty propagation through trained neural networks ICML 2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration ICML 2023
Bayesian Estimation of Differential Privacy ICML 2023
GFlowOut: Dropout with Generative Flow Networks ICML 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023
Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023