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122 directly classified papers

Papers per year

Papers

On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NIPS 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Mean Estimation with User-level Privacy under Data Heterogeneity NIPS 2022
Statistical Estimation and Online Inference via Local SGD COLT 2022
Conformal Frequency Estimation with Sketched Data NIPS 2022
Anonymized Histograms in Intermediate Privacy Models NIPS 2022
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NIPS 2022
Differential privacy and robust statistics in high dimensions COLT 2022
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NIPS 2022
Dimension-free empirical entropy estimation NIPS 2021
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021
A Computationally Efficient Method for Learning Exponential Family Distributions NIPS 2021
Identity testing for Mallows model NIPS 2021
Optimal Rates for Nonparametric Density Estimation under Communication Constraints NIPS 2021
Kernel Thinning COLT 2021
Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NIPS 2020
Non-asymptotic Analysis for Nonparametric Testing COLT 2020
Sharp uniform convergence bounds through empirical centralization NIPS 2020
Private Identity Testing for High-Dimensional Distributions NIPS 2020
Estimation and Inference with Trees and Forests in High Dimensions COLT 2020
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NIPS 2020
Estimation of Skill Distribution from a Tournament NIPS 2020
Optimal Prediction of the Number of Unseen Species with Multiplicity NIPS 2020