Bayesian & Probabilistic

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies ICLR 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021 A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021 Approximate implication with d-separation UAI 2021 Arbitrary Conditional Distributions with Energy NeurIPS 2021 Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions NeurIPS 2021 A sampling-based circuit for optimal decision making NeurIPS 2021 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021 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 A Temporal Kernel Approach for Deep Learning with Continuous-time Information ICLR 2021 A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models AISTATS 2021 A unified view of likelihood ratio and reparameterization gradients AISTATS 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021 Autoencoding Under Normalization Constraints ICML 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021 Automatic variational inference with cascading flows ICML 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 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 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks NeurIPS 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021