Bayesian & Probabilistic

Estimation of a Low-rank Topic-Based Model for Information Cascades JMLR 2020 Estimation of Skill Distribution from a Tournament NeurIPS 2020 Event-Driven Continuous Time Bayesian Networks AAAI 2020 Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020 Expressiveness and Learning of Hidden Quantum Markov Models AISTATS 2020 Extrapolating the profile of a finite population COLT 2020 Factor Graph Neural Networks NeurIPS 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020 Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NeurIPS 2020 Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization NeurIPS 2020 f-Divergence Variational Inference NeurIPS 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract) IJCAI 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 GaSPing for Utility AAAI 2020 Gaussianization Flows AISTATS 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 Generalized probabilistic principal component analysis of correlated data JMLR 2020 Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation CVPR 2020 General Latent Feature Models for Heterogeneous Datasets JMLR 2020