Bayesian Inference

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021 Exact marginal prior distributions of finite Bayesian neural networks NeurIPS 2021 Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021 Explaining Hyperparameter Optimization via Partial Dependence Plots NeurIPS 2021 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit ICLR 2021 Far-Field Speaker Localization and Adaptive GLMB Tracking Interspeech 2021 Fast Algorithms for Relational Marginal Polytopes IJCAI 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 Faster lifting for two-variable logic using cell graphs UAI 2021 Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Federated-EM with heterogeneity mitigation and variance reduction NeurIPS 2021 Federated stochastic gradient Langevin dynamics UAI 2021 Feedback Coding for Active Learning AISTATS 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates ICLR 2021 Few-Shot Learning via Feature Hallucination With Variational Inference WACV 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021 Foreseeing the Benefits of Incidental Supervision EMNLP 2021 Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning Interspeech 2021 Foundations of Bayesian Learning from Synthetic Data AISTATS 2021 From Rain Generation to Rain Removal CVPR 2021 From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CoRL 2021 Functional Variational Inference based on Stochastic Process Generators NeurIPS 2021