bayesian inference

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021 Diagnostics for conditional density models and Bayesian inference algorithms UAI 2021 Differentiable Annealed Importance Sampling and the Perils of Gradient Noise NeurIPS 2021 Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021 Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021 DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting RSS 2021 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NeurIPS 2021 Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting WACV 2021 Doubly non-central beta matrix factorization for DNA methylation data UAI 2021 Dual Online Stein Variational Inference for Control and Dynamics RSS 2021 Dynamic Cutset Networks AISTATS 2021 Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021 Efficient methods for Gaussian Markov random fields under sparse linear constraints NeurIPS 2021 Estimating α-Rank by Maximizing Information Gain AAAI 2021 Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning ICLR 2021 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit ICLR 2021 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NeurIPS 2021 Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network CVPR 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Federated stochastic gradient Langevin dynamics UAI 2021 Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning Interspeech 2021 From Rain Generation to Rain Removal CVPR 2021 Functional Variational Inference based on Stochastic Process Generators NeurIPS 2021