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Optimization

1184 directly classified papers

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Papers

A Polylog Pivot Steps Simplex Algorithm for Classification NIPS 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NIPS 2012
Clustering Aggregation as Maximum-Weight Independent Set NIPS 2012
Topology Constraints in Graphical Models NIPS 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Selective Labeling via Error Bound Minimization NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
Accelerated Training for Matrix-norm Regularization: A Boosting Approach NIPS 2012
Regularized Off-Policy TD-Learning NIPS 2012
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
Structured Learning of Gaussian Graphical Models NIPS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NIPS 2012
Scalable nonconvex inexact proximal splitting NIPS 2012
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NIPS 2011
Approximating Semidefinite Programs in Sublinear Time NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods AISTATS 2011
Active learning of neural response functions with Gaussian processes NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
Oracle inequalities for computationally budgeted model selection COLT 2011
Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011