statistical estimation

Optimal Prediction of the Number of Unseen Species with Multiplicity NeurIPS 2020 Worst-Case Analysis for Randomly Collected Data NeurIPS 2020 Approximate Profile Maximum Likelihood JMLR 2019 A Statistical Approach to Assessing Neural Network Robustness ICLR 2019 A Theory of Selective Prediction COLT 2019 Differentially Private Anonymized Histograms NeurIPS 2019 Differentially Private Covariance Estimation NeurIPS 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019 Adaptive Group Testing Algorithms to Estimate the Number of Defectives ALT 2018 A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018 Local Differential Privacy for Evolving Data NeurIPS 2018 Statistical Tomography of Microscopic Life CVPR 2018 Training Gaussian Mixture Models at Scale via Coresets JMLR 2018 A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017 Estimating the unseen from multiple populations ICML 2017 Robust Estimation of Neural Signals in Calcium Imaging NeurIPS 2017 Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random NeurIPS 2016 Estimating Mutual Information in Under-Reported Variables PGM 2016 On Bayes Risk Lower Bounds JMLR 2016 Optimal Statistical and Computational Rates for One Bit Matrix Completion AISTATS 2016 On Learning Distributions from their Samples COLT 2015 On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015