← Keywords

convex optimization

1320 papers

Explore in graph

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

Better Mini-Batch Algorithms via Accelerated Gradient Methods NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Convex and Network Flow Optimization for Structured Sparsity JMLR 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NIPS 2011
A Convergence Analysis of Log-Linear Training NIPS 2011
Efficient Offline Communication Policies for Factored Multiagent POMDPs NIPS 2011
Algorithms and hardness results for parallel large margin learning NIPS 2011
Statistical Performance of Convex Tensor Decomposition NIPS 2011
Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010
Hierarchical Convex NMF for Clustering Massive Data ACML 2010
Decomposing Isotonic Regression for Efficiently Solving Large Problems NIPS 2010
Convex Multiple-Instance Learning by Estimating Likelihood Ratio NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Structured sparsity-inducing norms through submodular functions NIPS 2010
Smoothness, Low Noise and Fast Rates NIPS 2010
Random Conic Pursuit for Semidefinite Programming NIPS 2010
Occlusion Detection and Motion Estimation with Convex Optimization NIPS 2010
Practical Large-Scale Optimization for Max-norm Regularization NIPS 2010
Bundle Methods for Regularized Risk Minimization JMLR 2010
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models JMLR 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010