Optimization

Flowtune: Flowlet Control for Datacenter Networks NSDI 2017 Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex IJCAI 2017 Forward and Reverse Gradient-Based Hyperparameter Optimization ICML 2017 Frame-based Data Factorizations ICML 2017 Frank-Wolfe Algorithms for Saddle Point Problems AISTATS 2017 Fried Binary Embedding for High-Dimensional Visual Features CVPR 2017 From Decimation to Local Search and Back: A New Approach to MaxSAT IJCAI 2017 Full Resolution Image Compression With Recurrent Neural Networks CVPR 2017 Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent COLT 2017 Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds NSDI 2017 Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017 Gaussian Quadrature for Kernel Features NeurIPS 2017 Generalized Conditional Gradient for Sparse Estimation JMLR 2017 Generating Hard Random Boolean Formulas and Disjunctive Logic Programs IJCAI 2017 Generative Local Metric Learning for Kernel Regression NeurIPS 2017 Geometric Descent Method for Convex Composite Minimization NeurIPS 2017 Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification EMNLP 2017 Global optimization of Lipschitz functions ICML 2017 Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays Interspeech 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017 Gradient Boosting on Stochastic Data Streams AISTATS 2017 Gradient Descent Can Take Exponential Time to Escape Saddle Points NeurIPS 2017 Gradient descent GAN optimization is locally stable NeurIPS 2017 Gradient Methods for Submodular Maximization NeurIPS 2017 Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares ICML 2017