Sample-Optimal Density Estimation in Nearly-Linear Time

1 June 2015

Papers citing "Sample-Optimal Density Estimation in Nearly-Linear Time"

36 / 36 papers shown

Title
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity A. F. Pour Hassan Ashtiani S. Asoodeh 83 1 0 09 Dec 2023
Near-Optimal Bounds for Testing Histogram Distributions C. Canonne Ilias Diakonikolas D. Kane Sihan Liu 62 3 0 14 Jul 2022
Clustering Mixtures with Almost Optimal Separation in Polynomial Time Jingkai Li Allen Liu 64 23 0 01 Dec 2021
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models Ilias Diakonikolas D. Kane 81 33 0 14 Dec 2020
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm Yi Hao Ayush Jain A. Orlitsky V. Ravindrakumar 138 6 0 22 Feb 2020
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments Sitan Chen Jingkai Li Zhao Song 80 39 0 16 Dec 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 73 16 0 05 Nov 2019
Generalized Resilience and Robust Statistics Banghua Zhu Jiantao Jiao Jacob Steinhardt 94 45 0 19 Sep 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families Brian Axelrod Ilias Diakonikolas Anastasios Sidiropoulos Alistair Stewart Gregory Valiant 86 9 0 18 Jul 2019
Private Hypothesis Selection Mark Bun Gautam Kamath Thomas Steinke Zhiwei Steven Wu 91 91 0 30 May 2019
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression Gil Kur Y. Dagan Alexander Rakhlin 73 25 0 13 Mar 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 235 775 0 12 Nov 2018
Density estimation for shift-invariant multidimensional distributions Jonathan Levy M. J. van der Laan Rocco A. Servedio OOD 67 5 0 09 Nov 2018
Robust Nonparametric Regression under Huber's $ε$ -contamination Model S. Du Yining Wang Sivaraman Balakrishnan Pradeep Ravikumar Aarti Singh 62 12 0 26 May 2018
Fast Multivariate Log-Concave Density Estimation Fabian Rathke Christoph Schnörr 64 9 0 18 May 2018
Testing Identity of Multidimensional Histograms Ilias Diakonikolas D. Kane John Peebles 64 16 0 10 Apr 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities Timothy Carpenter Ilias Diakonikolas Anastasios Sidiropoulos Alistair Stewart 80 24 0 28 Feb 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication Jayadev Acharya Ziteng Sun Huanyu Zhang 94 149 0 13 Feb 2018
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising Sujayam Saha Adityanand Guntuboyina 77 47 0 06 Dec 2017
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians Ilias Diakonikolas D. Kane Alistair Stewart 139 147 0 20 Nov 2017
Near-Optimal Closeness Testing of Discrete Histogram Distributions Ilias Diakonikolas D. Kane Vladimir Nikishkin 88 30 0 06 Mar 2017
Computationally Efficient Robust Estimation of Sparse Functionals S. Du Sivaraman Balakrishnan Aarti Singh 93 18 0 24 Feb 2017
Testing Bayesian Networks C. Canonne Ilias Diakonikolas D. Kane Alistair Stewart TPM 80 69 0 09 Dec 2016
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures Ilias Diakonikolas D. Kane Alistair Stewart 101 233 0 10 Nov 2016
Fast Algorithms for Segmented Regression Jayadev Acharya Ilias Diakonikolas Jerry Li Ludwig Schmidt 80 33 0 14 Jul 2016
Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng Ilias Diakonikolas D. Kane Alistair Stewart OOD 124 47 0 23 Jun 2016
Efficient Robust Proper Learning of Log-concave Distributions Ilias Diakonikolas D. Kane Alistair Stewart 82 30 0 09 Jun 2016
Learning Multivariate Log-concave Distributions Ilias Diakonikolas D. Kane Alistair Stewart 100 30 0 26 May 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 111 513 0 21 Apr 2016
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time Ilias Diakonikolas D. Kane Alistair Stewart 112 28 0 12 Nov 2015
Optimal Algorithms and Lower Bounds for Testing Closeness of Structured Distributions Ilias Diakonikolas D. Kane Vladimir Nikishkin 71 48 0 22 Aug 2015
Optimal Testing for Properties of Distributions Jayadev Acharya C. Daskalakis Gautam Kamath 99 162 0 21 Jul 2015
Testing Shape Restrictions of Discrete Distributions C. Canonne Ilias Diakonikolas Themis Gouleakis R. Rubinfeld 117 88 0 13 Jul 2015
A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k Jingkai Li Ludwig Schmidt 85 12 0 03 Jun 2015
Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables Ilias Diakonikolas D. Kane Alistair Stewart 111 32 0 04 May 2015
Sampling Correctors C. Canonne Themis Gouleakis R. Rubinfeld 64 12 0 24 Apr 2015