Statistical Learning

EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator ACML 2016 Efficient Private Empirical Risk Minimization for High-dimensional Learning ICML 2016 Error Analysis of Generalized Nyström Kernel Regression NeurIPS 2016 Estimating Cosmological Parameters from the Dark Matter Distribution ICML 2016 Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm JMLR 2016 Estimating Structured Vector Autoregressive Models ICML 2016 Estimation from Indirect Supervision with Linear Moments ICML 2016 Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence JMLR 2016 Estimation of Children’s Physical Characteristics from Their Voices Interspeech 2016 Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016 Exact Recovery of Hard Thresholding Pursuit NeurIPS 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Fast Algorithms for Robust PCA via Gradient Descent NeurIPS 2016 Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016 Fast learning rates with heavy-tailed losses NeurIPS 2016 Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016 Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NeurIPS 2016 Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NeurIPS 2016 Generalized Direct Change Estimation in Ising Model Structure ICML 2016 Group MAD Competition - A New Methodology to Compare Objective Image Quality Models CVPR 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 High Dimensional Structured Superposition Models NeurIPS 2016 Hyperarticulated Production of Korean Glides by Age Group Interspeech 2016 Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NeurIPS 2016