Bayesian Inference

Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks NeurIPS 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon AISTATS 2021 Variational Bayesian Optimistic Sampling NeurIPS 2021 Variational Bayesian Reinforcement Learning with Regret Bounds NeurIPS 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021 Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021 Variational Inference for Learning Representations of Natural Language Edits AAAI 2021 Variational inference for nonlinear ordinary differential equations AISTATS 2021 Variational Inference MPC using Tsallis Divergence RSS 2021 Variational inference with continuously-indexed normalizing flows UAI 2021 Variational Information Bottleneck for Effective Low-Resource Audio Classification Interspeech 2021 Variational Model-based Policy Optimization IJCAI 2021 Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021 Vector Quantized Bayesian Neural Network Inference for Data Streams AAAI 2021 Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels NeurIPS 2021 Weighted model counting with conditional weights for Bayesian networks UAI 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 When random initializations help: a study of variational inference for community detection JMLR 2021 Why did the distribution change? AISTATS 2021 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021 3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020