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Optimization

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Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Reward Design via Online Gradient Ascent NIPS 2010
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Decomposing Isotonic Regression for Efficiently Solving Large Problems NIPS 2010
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
A Dirty Model for Multi-task Learning NIPS 2010
Random Walk Approach to Regret Minimization NIPS 2010
MAP estimation in Binary MRFs via Bipartite Multi-cuts NIPS 2010
Parallelized Stochastic Gradient Descent NIPS 2010
LSTD with Random Projections NIPS 2010
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NIPS 2010
Practical Large-Scale Optimization for Max-norm Regularization NIPS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NIPS 2010
Occlusion Detection and Motion Estimation with Convex Optimization NIPS 2010
t-logistic regression NIPS 2010
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NIPS 2010
The Neural Costs of Optimal Control NIPS 2010
A Family of Penalty Functions for Structured Sparsity NIPS 2010
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery NIPS 2010