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Optimization

14,983 papers

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Papers

Competitive Closeness Testing COLT 2011
Oracle inequalities for computationally budgeted model selection COLT 2011
Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization COLT 2011
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011
Robust approachability and regret minimization in games with partial monitoring COLT 2011
The Rate of Convergence of Adaboost COLT 2011
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011
Minimax Algorithm for Learning Rotations COLT 2011
Training SVMs Without Offset JMLR 2011
Variable Sparsity Kernel Learning JMLR 2011
Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011
-Norm Multiple Kernel Learning JMLR 2011
Differentially Private Empirical Risk Minimization JMLR 2011
Better Algorithms for Benign Bandits JMLR 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Faster Algorithms for Max-Product Message-Passing JMLR 2011
Hyper-Sparse Optimal Aggregation JMLR 2011
Stochastic Methods for -regularized Loss Minimization JMLR 2011
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011
Proximal Methods for Hierarchical Sparse Coding JMLR 2011
Convex and Network Flow Optimization for Structured Sparsity JMLR 2011
Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011
Convergence Rates of Efficient Global Optimization Algorithms JMLR 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
Semi-Supervised Learning with Measure Propagation JMLR 2011