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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Parallel tempering on optimized paths ICML 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021
Bayesian Bellman Operators NIPS 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021
Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Deep Bayesian Quadrature Policy Optimization AAAI 2021
Geometric convergence of elliptical slice sampling ICML 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
Foreseeing the Benefits of Incidental Supervision EMNLP 2021
GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Bayesian Topic Regression for Causal Inference EMNLP 2021
Posterior Meta-Replay for Continual Learning NIPS 2021
The Base Measure Problem and its Solution AISTATS 2021
Rao-Blackwellised parallel MCMC AISTATS 2021
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021