Bayesian & Probabilistic

Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021 Estimating α-Rank by Maximizing Information Gain AAAI 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Event Outlier Detection in Continuous Time ICML 2021 Exact marginal prior distributions of finite Bayesian neural networks NeurIPS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 ExGAN: Adversarial Generation of Extreme Samples AAAI 2021 Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning ICLR 2021 Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling NeurIPS 2021 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit ICLR 2021 Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning ICCV 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 Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling UAI 2021 Faster Kernel Interpolation for Gaussian Processes AISTATS 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms ICLR 2021 Federated Multi-Task Learning under a Mixture of Distributions NeurIPS 2021 Filter-Based Online System-Parameter Estimation for Multicopter UAVs RSS 2021 Fine-Grained Zero-Shot Learning with DNA as Side Information NeurIPS 2021 Finite mixture models do not reliably learn the number of components ICML 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021 For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NeurIPS 2021 From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions AAAI 2021 Functional Variational Inference based on Stochastic Process Generators NeurIPS 2021