bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023

Bayesian Variable Selection in a Million Dimensions AISTATS 2023

Langevin Diffusion Variational Inference AISTATS 2023

Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023

Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023

Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023

Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery AISTATS 2023

Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics UAI 2023

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023

ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023

A Bayesian Take on Gaussian Process Networks NIPS 2023

Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NIPS 2023

Vector-Valued Control Variates ICML 2023

HyperPosePDF - Hypernetworks Predicting the Probability Distribution on SO(3) WACV 2023

State and parameter learning with PARIS particle Gibbs ICML 2023

Reliable and Interpretable Personalized Federated Learning CVPR 2023

Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model NIPS 2023

Learning Analytical Posterior Probability for Human Mesh Recovery CVPR 2023

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NIPS 2023

Computer Vision to the Rescue: Infant Postural Symmetry Estimation From Incongruent Annotations WACV 2023

Robust and Scalable Bayesian Online Changepoint Detection ICML 2023

Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NIPS 2023

Guided Deep Kernel Learning UAI 2023

Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023