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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

Minimizing the Maximal Rank CVPR 2016
Structure Learning of Partitioned Markov Networks ICML 2016
An equivalence between high dimensional Bayes optimal inference and M-estimation NIPS 2016
Adaptive Averaging in Accelerated Descent Dynamics NIPS 2016
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NIPS 2016
Structure-Blind Signal Recovery NIPS 2016
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding NIPS 2016
A Simple Practical Accelerated Method for Finite Sums NIPS 2016
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities NIPS 2016
Normalized Spectral Map Synchronization NIPS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes NIPS 2016
Learning Infinite RBMs with Frank-Wolfe NIPS 2016
Faster Projection-free Convex Optimization over the Spectrahedron NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient ICML 2016
Volumetric Spanners: An Efficient Exploration Basis for Learning JMLR 2016
Efficient Bregman Projections onto the Permutahedron and Related Polytopes AISTATS 2016
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms ICML 2016
Dropping Convexity for Faster Semi-definite Optimization COLT 2016
Learning Sparse Gaussian Graphical Models with Overlapping Blocks NIPS 2016
Crowdsourced Clustering: Querying Edges vs Triangles NIPS 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NIPS 2016
Stochastic Online AUC Maximization NIPS 2016
A scaled Bregman theorem with applications NIPS 2016
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization NIPS 2016