Bayesian & Probabilistic

Spatio-Temporal Variational Gaussian Processes NeurIPS 2021 Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021 Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021 State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability IJCAI 2021 Statistical Estimation from Dependent Data ICML 2021 Stochastic block model entropy and broadcasting on trees with survey COLT 2021 Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation ICCV 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 Streaming Belief Propagation for Community Detection NeurIPS 2021 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021 Structured Logconcave Sampling with a Restricted Gaussian Oracle COLT 2021 Structured World Belief for Reinforcement Learning in POMDP ICML 2021 Symbol Grounding and Task Learning from Imperfect Corrections ACL 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021 Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification EMNLP 2021 The Base Measure Problem and its Solution AISTATS 2021 The Flipped Classroom model for teaching Conditional Random Fields in an NLP course NAACL 2021 The Impact of Data on the Stability of Learning-Based Control L4DC 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Towards Generalized Implementation of Wasserstein Distance in GANs AAAI 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021 Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image ICCV 2021 Trajectory Prediction With Latent Belief Energy-Based Model CVPR 2021 Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021