Bayesian & Probabilistic

Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NeurIPS 2020 Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NeurIPS 2020 A Generative Model for Molecular Distance Geometry ICML 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 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NeurIPS 2020 All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference ICML 2020 Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020 A Locally Adaptive Bayesian Cubature Method AISTATS 2020 Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 A Multi-Hypothesis Approach to Color Constancy CVPR 2020 Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NeurIPS 2020 Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning ICLR 2020 A New Perspective on Learning Context-Specific Independence PGM 2020 An Expectation Maximisation Algorithm for Automated Cognate Detection CoNLL 2020 An NMF-HMM Speech Enhancement Method Based on Kullback-Leibler Divergence Interspeech 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent NeurIPS 2020 An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020 An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering ACL 2020 A Novel Approach for Constrained Optimization in Graphical Models NeurIPS 2020 Applications of Common Entropy for Causal Inference NeurIPS 2020