Bayesian & Probabilistic

Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021 Bayesian Nonparametric Space Partitions: A Survey IJCAI 2021 Bayesian Optimization of Function Networks NeurIPS 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Bayesian streaming sparse Tucker decomposition UAI 2021 Bayesian Structural Adaptation for Continual Learning ICML 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 BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021 Causal Inference with Selectively Deconfounded Data AISTATS 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021 Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems AAAI 2021 Collaborative Bayesian Optimization with Fair Regret ICML 2021 Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021 Collaborative Uncertainty in Multi-Agent Trajectory Forecasting NeurIPS 2021 Collapsed Variational Bounds for Bayesian Neural Networks NeurIPS 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Composing Normalizing Flows for Inverse Problems ICML 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NeurIPS 2021 Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability ICML 2021