Probabilistic Modeling

Row-clustering of a Point Process-valued Matrix NeurIPS 2021 Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes ICLR 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NeurIPS 2021 Self-Conditioned Probabilistic Learning of Video Rescaling ICCV 2021 SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021 SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021 Sinusoidal Flow: A Fast Invertible Autoregressive Flow ACML 2021 Soft Tensor Regression JMLR 2021 Source Identification for Mixtures of Product Distributions COLT 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 Streaming Belief Propagation for Community Detection 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 The Base Measure Problem and its Solution AISTATS 2021 The Flipped Classroom model for teaching Conditional Random Fields in an NLP course NAACL 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 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021