← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022
Function-space Inference with Sparse Implicit Processes ICML 2022
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022
Approximate Bayesian Computation via Classification JMLR 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders ICML 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022
Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency CVPR 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression CVPR 2022
Double Spike Dirichlet Priors for Structured Weighting JMLR 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Deep Hierarchy in Bandits ICML 2022