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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

Convex Regression with Interpretable Sharp Partitions JMLR 2016
Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares JMLR 2016
Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity ICML 2016
Highly-Smooth Zero-th Order Online Optimization COLT 2016
Robust Principal Component Analysis with Side Information ICML 2016
Localized Multiple Kernel Learning—A Convex Approach ACML 2016
SDCA without Duality, Regularization, and Individual Convexity ICML 2016
Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning AISTATS 2016
On the properties of variational approximations of Gibbs posteriors JMLR 2016
Trend Filtering on Graphs JMLR 2016
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions CVPR 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016
Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
Estimation from Indirect Supervision with Linear Moments ICML 2016
Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier ICML 2016
Cross-Graph Learning of Multi-Relational Associations ICML 2016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016
Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016
A Convex Optimization Approach to Robust Fundamental Matrix Estimation CVPR 2015
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints ICCV 2015
Efficient Non-greedy Optimization of Decision Trees NIPS 2015