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Optimization

14207 directly classified papers

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Papers

Improved Moves for Truncated Convex Models NIPS 2008
Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines JMLR 2008
Automatic online tuning for fast Gaussian summation NIPS 2008
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
Online Optimization in X-Armed Bandits NIPS 2008
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
On the Generalization Ability of Online Strongly Convex Programming Algorithms NIPS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
Multi-resolution Exploration in Continuous Spaces NIPS 2008
Deflation Methods for Sparse PCA NIPS 2008
Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008
Shark JMLR 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Online Learning of Complex Prediction Problems Using Simultaneous Projections JMLR 2008
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008
Robust Regression and Lasso NIPS 2008
Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Estimating Robust Query Models with Convex Optimization NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Consistency of Trace Norm Minimization JMLR 2008