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convex optimization

1320 papers

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Also known as

ACO ADMM CO OCO

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

Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks ICML 2017
Approximate Steepest Coordinate Descent ICML 2017
Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017
The Sample Complexity of Optimizing a Convex Function COLT 2017
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017
Truncated Max-Of-Convex Models CVPR 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms ICML 2017
Optimized Pre-Processing for Discrimination Prevention NIPS 2017
Geometric Descent Method for Convex Composite Minimization NIPS 2017
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NIPS 2017
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes NIPS 2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NIPS 2017
Trimmed Density Ratio Estimation NIPS 2017
Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017
Adaptive Clustering through Semidefinite Programming NIPS 2017
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NIPS 2017
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NIPS 2017
Improved Dynamic Regret for Non-degenerate Functions NIPS 2017
FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017