Bayesian & Probabilistic

A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020 A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions NeurIPS 2020 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Interspeech 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NeurIPS 2020 Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NeurIPS 2020 Advances in Using Grammars with Latent Annotations for Discontinuous Parsing ACL 2020 Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation AAAI 2020 aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python PGM 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 An Empirical Investigation of Contextualized Number Prediction EMNLP 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 A New Perspective on Learning Context-Specific Independence PGM 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent NeurIPS 2020 An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering ACL 2020 Approximating bounded tree-width Bayesian network classifiers with OBDD PGM 2020