← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Bayesian Recurrent Units and the Forward-Backward Algorithm INTERSPEECH 2022
Uncertainty Calibration for Deep Audio Classifiers INTERSPEECH 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders INTERSPEECH 2022
Latent Time Neural Ordinary Differential Equations AAAI 2022
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach JMLR 2022
Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022
Gaussian Process Boosting JMLR 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022
Double Spike Dirichlet Priors for Structured Weighting JMLR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning ICML 2022
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022