Estimation

Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness COLT 2023 Differential privacy and robust statistics in high dimensions COLT 2022 Finite-Sample Maximum Likelihood Estimation of Location NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Mean-field nonparametric estimation of interacting particle systems COLT 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Non-Gaussian Component Analysis via Lattice Basis Reduction COLT 2022 Optimal Mean Estimation without a Variance COLT 2022 Robust Estimation for Random Graphs COLT 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 The Role of Interactivity in Structured Estimation COLT 2022 A Statistical Taylor Theorem and Extrapolation of Truncated Densities COLT 2021 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021 Source Identification for Mixtures of Product Distributions COLT 2021 A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020 A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm NeurIPS 2020 Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation COLT 2020 Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020 Extrapolating the profile of a finite population COLT 2020 Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model COLT 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019 Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor NeurIPS 2019