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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

Agnostic Estimation for Misspecified Phase Retrieval Models NIPS 2016
A Convex Model for Linguistic Influence in Group Conversations INTERSPEECH 2016
Black-box Optimization with a Politician ICML 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling CVPR 2016
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization CVPR 2016
Parameter-Free Convex Learning through Coin Betting AUTOML 2016
A Non-generative Framework and Convex Relaxations for Unsupervised Learning NIPS 2016
Variance-Reduced and Projection-Free Stochastic Optimization ICML 2016
Train faster, generalize better: Stability of stochastic gradient descent ICML 2016
Fast Active Set Methods for Online Spike Inference from Calcium Imaging NIPS 2016
Epigraph projections for fast general convex programming ICML 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016
Local Minimax Complexity of Stochastic Convex Optimization NIPS 2016
Sub-sampled Newton Methods with Non-uniform Sampling NIPS 2016
Multistage Campaigning in Social Networks NIPS 2016
Mapping Estimation for Discrete Optimal Transport NIPS 2016
On Regularizing Rademacher Observation Losses NIPS 2016
Structured Matrix Recovery via the Generalized Dantzig Selector NIPS 2016
Tight Complexity Bounds for Optimizing Composite Objectives NIPS 2016
Stochastic Three-Composite Convex Minimization NIPS 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016
Dense Monocular Depth Estimation in Complex Dynamic Scenes CVPR 2016
Stochastic Variance Reduction Methods for Saddle-Point Problems NIPS 2016