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Convex Optimization

589 directly classified papers

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Papers

Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
Perceptron Learning of SAT NIPS 2012
Factoring nonnegative matrices with linear programs NIPS 2012
Recovery of Sparse Probability Measures via Convex Programming NIPS 2012
Proximal Newton-type methods for convex optimization NIPS 2012
Convex Multi-view Subspace Learning NIPS 2012
Multiclass Learning with Simplex Coding NIPS 2012
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NIPS 2012
A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm ACML 2012
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012
Online Optimization with Gradual Variations COLT 2012
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Shaping Level Sets with Submodular Functions NIPS 2011
Approximating Semidefinite Programs in Sublinear Time NIPS 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011
Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011
Statistical Performance of Convex Tensor Decomposition NIPS 2011
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
Stochastic convex optimization with bandit feedback NIPS 2011