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Papers (including subtopics)

Structured Sparse Regression via Greedy Hard Thresholding NeurIPS 2016 Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016 Structure-Leveraged Methods in Breast Cancer Risk Prediction JMLR 2016 Sublabel-Accurate Relaxation of Nonconvex Energies CVPR 2016 Sub-sampled Newton Methods with Non-uniform Sampling NeurIPS 2016 Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016 Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection Interspeech 2016 Supervised learning through the lens of compression NeurIPS 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 Supervised Word Mover's Distance NeurIPS 2016 Synthesis of MCMC and Belief Propagation NeurIPS 2016 Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity COLING 2016 Temporal Action Detection Using a Statistical Language Model CVPR 2016 Temporal Action Localization in Untrimmed Videos via Multi-Stage CNNs CVPR 2016 TensorFlow: A System for Large-Scale Machine Learning OSDI 2016 Tensor Power Iteration for Multi-Graph Matching CVPR 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization CVPR 2016 TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016 Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity NeurIPS 2016 TextImager: a Distributed UIMA-based System for NLP COLING 2016 Textual Entailment with Structured Attentions and Composition COLING 2016 The Asymptotic Performance of Linear Echo State Neural Networks JMLR 2016 The Benefit of Multitask Representation Learning JMLR 2016 The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016 The Discourse Marker “so” in Turn-Taking and Turn-Releasing Behavior Interspeech 2016