Optimization

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019 Scalable Approximations for Generalized Linear Problems JMLR 2019 Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning IJCAI 2019 Scalable Global Optimization via Local Bayesian Optimization NeurIPS 2019 Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NeurIPS 2019 Scalable Unbalanced Optimal Transport using Generative Adversarial Networks ICLR 2019 Scalable Verified Training for Provably Robust Image Classification ICCV 2019 Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NeurIPS 2019 Selecting Compliant Agents for Opt-in Micro-Tolling AAAI 2019 Self-similar Epochs: Value in arrangement ICML 2019 Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions ICLR 2019 Semantic Role Labeling with Iterative Structure Refinement EMNLP 2019 Semi-Analytic Resampling in Lasso JMLR 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 Semi-Supervised Domain Adaptation via Minimax Entropy ICCV 2019 Sentence-Level Agreement for Neural Machine Translation ACL 2019 Separator-Based Pruned Dynamic Programming for Steiner Tree AAAI 2019 Sequential Facility Location: Approximate Submodularity and Greedy Algorithm ICML 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Sever: A Robust Meta-Algorithm for Stochastic Optimization ICML 2019 SGD Converges to Global Minimum in Deep Learning via Star-convex Path ICLR 2019 SGD: General Analysis and Improved Rates ICML 2019 SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019 Sharp Analysis for Nonconvex SGD Escaping from Saddle Points COLT 2019