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Bayesian Inference

5,566 papers

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Papers

Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021
A Probabilistic Approach to Neural Network Pruning ICML 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021
AGENT: A Benchmark for Core Psychological Reasoning ICML 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021
Parallel tempering on optimized paths ICML 2021
A Language for Counterfactual Generative Models ICML 2021
BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021
Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021
Bayesian Attention Belief Networks ICML 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021