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Bayesian Inference

5,566 papers

Papers per year

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522
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Papers

Sample Adaptive MCMC NIPS 2019
Online sampling from log-concave distributions NIPS 2019
Practical Two-Step Lookahead Bayesian Optimization NIPS 2019
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NIPS 2019
Exact inference in structured prediction NIPS 2019
Scalable inference of topic evolution via models for latent geometric structures NIPS 2019
Debiased Bayesian inference for average treatment effects NIPS 2019
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees NIPS 2019
Function-Space Distributions over Kernels NIPS 2019
PAC-Bayes under potentially heavy tails NIPS 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty NIPS 2019
PAC-Bayes Un-Expected Bernstein Inequality NIPS 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NIPS 2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces NIPS 2019
Information-Theoretic Confidence Bounds for Reinforcement Learning NIPS 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling NIPS 2019
Safe Exploration for Interactive Machine Learning NIPS 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NIPS 2019
Discriminative Topic Modeling with Logistic LDA NIPS 2019
Streaming Bayesian Inference for Crowdsourced Classification NIPS 2019
Importance Weighted Hierarchical Variational Inference NIPS 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NIPS 2019
VIREL: A Variational Inference Framework for Reinforcement Learning NIPS 2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NIPS 2019