Optimization

Policy gradients in linearly-solvable MDPs NeurIPS 2010 Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Quadratic Programming Feature Selection JMLR 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Random Walk Approach to Regret Minimization NeurIPS 2010 Relaxed Clipping: A Global Training Method for Robust Regression and Classification NeurIPS 2010 Reverse Multi-Label Learning NeurIPS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 Self-Paced Learning for Latent Variable Models NeurIPS 2010 Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010 Sensor Placement for Improved Robotic Navigation RSS 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Smoothness, Low Noise and Fast Rates NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Stochastic Complementarity for Local Control of Discontinuous Dynamics RSS 2010 Structured Sparse Principal Component Analysis AISTATS 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010 The Feature Selection Path in Kernel Methods AISTATS 2010