Bayesian Inference

Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021 Asymptotics of representation learning in finite Bayesian neural networks NeurIPS 2021 Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021 A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021 Automatic Design of Heuristic Algorithms for Binary Optimization Problems IJCAI 2021 Automatic Error Correction for Speaker Embedding Learning with Noisy Labels Interspeech 2021 Automatic structured variational inference AISTATS 2021 Automatic variational inference with cascading flows ICML 2021 A variational approximate posterior for the deep Wishart process NeurIPS 2021 A variational approximation for analyzing the dynamics of panel data UAI 2021 A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021 A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition WACV 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021 Bayesian Adaptation for Covariate Shift NeurIPS 2021 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Bayesian Attention Belief Networks ICML 2021 Bayesian Bellman Operators NeurIPS 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021