Probabilistic Modeling

A Computationally Efficient Method for Learning Exponential Family Distributions NeurIPS 2021 Acoustic Event Detection with Classifier Chains Interspeech 2021 A Data-Driven Approach for Gin Rummy Hand Evaluation AAAI 2021 A Discriminative Technique for Multiple-Source Adaptation ICML 2021 Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition CVPR 2021 Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation Interspeech 2021 An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021 Approximate implication with d-separation UAI 2021 Arbitrary Conditional Distributions with Energy NeurIPS 2021 A sampling-based circuit for optimal decision making NeurIPS 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 Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models AISTATS 2021 Autoencoding Under Normalization Constraints ICML 2021 Automatic variational inference with cascading flows ICML 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 Bayesian Nonparametric Space Partitions: A Survey IJCAI 2021 Bayesian streaming sparse Tucker decomposition UAI 2021 BERT-Beta: A Proactive Probabilistic Approach to Text Moderation EMNLP 2021 Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge EMNLP 2021 Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021 Causal Inference with Selectively Deconfounded Data AISTATS 2021 Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021 Collaborative Uncertainty in Multi-Agent Trajectory Forecasting NeurIPS 2021