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convex optimization

1320 papers

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Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views CVPR 2019
Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019
Polarimetric Camera Calibration Using an LCD Monitor CVPR 2019
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019
Almost surely constrained convex optimization ICML 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019
Proximal Distance Algorithms: Theory and Practice JMLR 2019
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019
Safe Convex Learning under Uncertain Constraints AISTATS 2019
Lazifying Conditional Gradient Algorithms JMLR 2019
Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019
Adaptation Based on Generalized Discrepancy JMLR 2019
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging NIPS 2019
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms AAAI 2019
Restarting Frank-Wolfe AISTATS 2019
Compact Convex Projections JMLR 2018
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018
Saturating Splines and Feature Selection JMLR 2018
From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018