Optimization

Generalized Rank-Breaking: Computational and Statistical Tradeoffs JMLR 2018 Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NeurIPS 2018 Geometrically Coupled Monte Carlo Sampling NeurIPS 2018 Geometric Enclosing Networks IJCAI 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NeurIPS 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk COLT 2018 Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation CVPR 2018 Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search IJCAI 2018 Global Non-convex Optimization with Discretized Diffusions NeurIPS 2018 G-NET: Effective GPU Sharing in NFV Systems NSDI 2018 Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018 Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers ICML 2018 Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NeurIPS 2018 Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018 Gradient Estimators for Implicit Models ICLR 2018 Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018 Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks ICML 2018 Gradient Sparsification for Communication-Efficient Distributed Optimization NeurIPS 2018 Graph-Cut RANSAC CVPR 2018 Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018 Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization NeurIPS 2018 Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions ICML 2018 Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NeurIPS 2018 Gromov-Wasserstein Alignment of Word Embedding Spaces EMNLP 2018