Optimization

Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning JMLR 2017 Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks ACML 2017 Learning RBM with a DC programming Approach ACML 2017 Learning ReLUs via Gradient Descent NeurIPS 2017 Learning to Skim Text ACL 2017 Learning Translations via Matrix Completion EMNLP 2017 Learning with Feature Evolvable Streams NeurIPS 2017 Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix ACL 2017 Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017 Let It Flow: Resilient Asymmetric Load Balancing with Flowlet Switching NSDI 2017 Lexicalized Reordering for Left-to-Right Hierarchical Phrase-based Translation EACL 2017 Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search ACL 2017 Lexical Sememe Prediction via Word Embeddings and Matrix Factorization IJCAI 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree NeurIPS 2017 Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization NeurIPS 2017 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NeurIPS 2017 Linear Convergence of Stochastic Frank Wolfe Variants AISTATS 2017 Linear regression without correspondence NeurIPS 2017 Linking Image and Text With 2-Way Nets CVPR 2017 Local Bayesian Optimization of Motor Skills ICML 2017 Locality in Random SAT Instances IJCAI 2017 Locality Preserving Matching IJCAI 2017 Localized Lasso for High-Dimensional Regression AISTATS 2017 Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization IJCAI 2017 Logistic Markov Decision Processes IJCAI 2017