optimization algorithm

A Constructive Approach to L_0 Penalized Regression JMLR 2018 Adversarial Task Assignment IJCAI 2018 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018 Comparing Constraints for Taxonomic Organization NAACL 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Efficient Optimization for Rank-Based Loss Functions CVPR 2018 Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018 Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 SGDLibrary: A MATLAB library for stochastic optimization algorithms JMLR 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 Algorithms for ℓ_p Low-Rank Approximation ICML 2017 Approximate Steepest Coordinate Descent ICML 2017 A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017 Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NeurIPS 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 Safe Adaptive Importance Sampling NeurIPS 2017 Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017 StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017 Temporal Planning for Compilation of Quantum Approximate Optimization Circuits IJCAI 2017 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NeurIPS 2017 Coordinate-wise Power Method NeurIPS 2016 Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain NeurIPS 2016 LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NeurIPS 2016