Statistical Learning

Convex Relaxations for Permutation Problems NeurIPS 2013 Cost-sensitive Multiclass Classification Risk Bounds ICML 2013 Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Differentially Private Learning with Kernels ICML 2013 Dirty Statistical Models NeurIPS 2013 Distribution-Dependent Sample Complexity of Large Margin Learning JMLR 2013 Distribution-Free Distribution Regression AISTATS 2013 Distribution to Distribution Regression ICML 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013 Estimating the Unseen: Improved Estimators for Entropy and other Properties NeurIPS 2013 Estimating Unknown Sparsity in Compressed Sensing ICML 2013 Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NeurIPS 2013 Feature Selection in High-Dimensional Classification ICML 2013 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 Honest Compressions and Their Application to Compression Schemes COLT 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013 Learning with Noisy Labels NeurIPS 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Markov Network Estimation From Multi-attribute Data ICML 2013