statistical estimation

Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 Kernel Mean Estimation and Stein Effect ICML 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 Estimating the Unseen: Improved Estimators for Entropy and other Properties NeurIPS 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Scale Invariant Conditional Dependence Measures ICML 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Multi-Task Averaging NeurIPS 2012 Privacy Aware Learning NeurIPS 2012 Differentially Private M-Estimators NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011 Multi-Stage Dantzig Selector NeurIPS 2010 An improved estimator of Variance Explained in the presence of noise NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007