Optimization

Task-based End-to-end Model Learning in Stochastic Optimization NeurIPS 2017 Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017 Tensor Decomposition via Simultaneous Power Iteration ICML 2017 Tensor Decomposition with Smoothness ICML 2017 The Numerics of GANs NeurIPS 2017 The Sample Complexity of Optimizing a Convex Function COLT 2017 The Statistical Recurrent Unit ICML 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 Tight Bounds for Approximate Carathéodory and Beyond ICML 2017 Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation CoNLL 2017 Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging IJCNLP 2017 Towards Decoding as Continuous Optimisation in Neural Machine Translation EMNLP 2017 Training Deep Networks without Learning Rates Through Coin Betting NeurIPS 2017 Translation Synchronization via Truncated Least Squares NeurIPS 2017 Trimmed Density Ratio Estimation NeurIPS 2017 Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017 Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017 Understanding Traffic Density From Large-Scale Web Camera Data CVPR 2017 Unifying Task Specification in Reinforcement Learning ICML 2017 Unsatisfiable Core Shrinking for Anytime Answer Set Optimization IJCAI 2017 Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes EACL 2017 Variance-based Regularization with Convex Objectives NeurIPS 2017