Bayesian & Probabilistic

A Game-Theoretic Account of Responsibility Allocation IJCAI 2021 Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets Interspeech 2021 A general linear-time inference method for Gaussian Processes on one dimension JMLR 2021 A generative nonparametric Bayesian model for whole genomes NeurIPS 2021 AGENT: A Benchmark for Core Psychological Reasoning ICML 2021 A Hybrid Probabilistic Approach for Table Understanding AAAI 2021 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021 Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021 Amortized Variational Inference for Simple Hierarchical Models NeurIPS 2021 An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021 Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler JMLR 2021 An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis IJCAI 2021 A New Bounding Scheme for Influence Diagrams AAAI 2021 Annealed Flow Transport Monte Carlo ICML 2021 Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories MLHC 2021 Approximate implication with d-separation UAI 2021 A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NeurIPS 2021 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning 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 statistical theory of cold posteriors in deep neural networks ICLR 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 Asymptotics of representation learning in finite Bayesian neural networks NeurIPS 2021