← Keywords

bayesian inference

1904 papers

Explore in graph

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

Bayesian Recurrent Units and the Forward-Backward Algorithm INTERSPEECH 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders INTERSPEECH 2022
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Active Bayesian Causal Inference NIPS 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
Uncertainty Modeling in Generative Compressed Sensing ICML 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Feature Space Particle Inference for Neural Network Ensembles ICML 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation ICML 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022
Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022
Nonlinear MCMC for Bayesian Machine Learning NIPS 2022
Knowledge-Aware Bayesian Deep Topic Model NIPS 2022
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds AAAI 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022
Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022
Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022
Robust Anytime Learning of Markov Decision Processes NIPS 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022