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Optimization

14207 directly classified papers

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Papers

On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
Stochastic Complementarity for Local Control of Discontinuous Dynamics RSS 2010
Boosted Optimization for Network Classification AISTATS 2010
Occlusion Detection and Motion Estimation with Convex Optimization NIPS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning RSS 2010
Learning Polyhedral Classifiers Using Logistic Function ACML 2010
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression AISTATS 2010
Descent Methods for Tuning Parameter Refinement AISTATS 2010
Structured sparsity-inducing norms through submodular functions NIPS 2010
Network Flow Algorithms for Structured Sparsity NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
A Non-invasive Real-Time Method for Measuring Variable Stiffness RSS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
The Neural Costs of Optimal Control NIPS 2010
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010
A Dirty Model for Multi-task Learning NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
Reverse Multi-Label Learning NIPS 2010
Robust Clustering as Ensembles of Affinity Relations NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010