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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

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries ICML 2018
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming ICML 2018
Convolutional Imputation of Matrix Networks ICML 2018
Accelerating Stochastic Gradient Descent for Least Squares Regression COLT 2018
Randomized Block Cubic Newton Method ICML 2018
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm ICML 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization ICML 2018
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018
Lower Bounds for Higher-Order Convex Optimization COLT 2018
Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing COLT 2018
Efficient Convex Optimization with Membership Oracles COLT 2018
Faster Rates for Convex-Concave Games COLT 2018
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations IJCAI 2018
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements IJCAI 2018
Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems CVPR 2018
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm CVPR 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NIPS 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization NIPS 2018
Online Improper Learning with an Approximation Oracle NIPS 2018
Online Adaptive Methods, Universality and Acceleration NIPS 2018
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning NIPS 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making NIPS 2018