Artificial Intelligence

Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Bayesian Torrent Classification by File Name and Size Only PGM 2016 BayesPy: Variational Bayesian Inference in Python JMLR 2016 Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016 beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NeurIPS 2016 Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016 Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals CVPR 2016 Bitext Name Tagging for Cross-lingual Entity Annotation Projection COLING 2016 Black-Box Alpha Divergence Minimization ICML 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering NeurIPS 2016 Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 2016 Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016 Brains on Beats NeurIPS 2016 Budgeted stream-based active learning via adaptive submodular maximization NeurIPS 2016 Camera Calibration From Dynamic Silhouettes Using Motion Barcodes CVPR 2016 Catching heuristics are optimal control policies NeurIPS 2016 CATENA: CAusal and TEmporal relation extraction from NAtural language texts COLING 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Causal Inference through a Witness Protection Program JMLR 2016 Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation Interspeech 2016