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Papers (including subtopics)

Random Feature Maps for Dot Product Kernels AISTATS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Random Search for Hyper-Parameter Optimization JMLR 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rare Probability Estimation under Regularly Varying Heavy Tails COLT 2012 Reconstruction from Anisotropic Random Measurements COLT 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Reducing statistical time-series problems to binary classification NeurIPS 2012 Regression for sets of polynomial equations AISTATS 2012 Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012 Regularization Techniques for Learning with Matrices JMLR 2012 Regularized Bundle Methods for Convex and Non-Convex Risks JMLR 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Relax and Randomize : From Value to Algorithms NeurIPS 2012 Repulsive Mixtures NeurIPS 2012 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Risk-Aversion in Multi-armed Bandits NeurIPS 2012 Robust Interactive Learning COLT 2012 Robust Kernel Density Estimation JMLR 2012 Robust Loop Closing Over Time RSS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Sample Complexity of Composite Likelihood AISTATS 2012 Sampling Methods for the Nyström Method JMLR 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012