Sample-Optimal Density Estimation in Nearly-Linear Time

1 June 2015

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

50 / 55 papers shown

Title
Breaking the curse of dimensionality in structured density estimation Robert A. Vandermeulen Wai Ming Tai Bryon Aragam 35 0 0 10 Oct 2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity A. F. Pour Hassan Ashtiani S. Asoodeh 51 0 0 09 Dec 2023
Testing Closeness of Multivariate Distributions via Ramsey Theory Ilias Diakonikolas Daniel M. Kane Sihan Liu 23 2 0 22 Nov 2023
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples Mohammad Afzali H. Ashtiani Christopher Liaw 37 5 0 07 Sep 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models Jamil Arbas H. Ashtiani Christopher Liaw 53 23 0 07 Mar 2023
Near-Optimal Bounds for Testing Histogram Distributions C. Canonne Ilias Diakonikolas D. Kane Sihan Liu 25 3 0 14 Jul 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting Avishek Ghosh A. Mazumdar S. Pal Rajat Sen 26 10 0 26 May 2022
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures Bryon Aragam W. Tai 35 3 0 28 Mar 2022
Support Recovery in Mixture Models with Sparse Parameters A. Mazumdar S. Pal 14 0 0 24 Feb 2022
TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm Yi Hao Ayush Jain A. Orlitsky V. Ravindrakumar OOD 24 0 0 15 Feb 2022
Clustering Mixtures with Almost Optimal Separation in Polynomial Time Jingkai Li Allen Liu 35 23 0 01 Dec 2021
Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation Ilias Diakonikolas D. Kane Daniel Kongsgaard Jingkai Li Kevin Tian FedML 36 21 0 16 Jun 2021
Robust Model Selection and Nearly-Proper Learning for GMMs Jungshian Li Allen Liu Ankur Moitra 34 3 0 05 Jun 2021
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models Ilias Diakonikolas D. Kane 28 32 0 14 Dec 2020
Efficient Interpolation of Density Estimators Paxton Turner Jingbo Liu Philippe Rigollet 22 3 0 10 Nov 2020
Efficient Algorithms for Multidimensional Segmented Regression Ilias Diakonikolas Jerry Li Anastasia Voloshinov 18 5 0 24 Mar 2020
A General Method for Robust Learning from Batches Ayush Jain A. Orlitsky OOD 17 16 0 25 Feb 2020
Learning Structured Distributions From Untrusted Batches: Faster and Simpler Sitan Chen Jungshian Li Ankur Moitra 29 18 0 24 Feb 2020
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm Yi Hao Ayush Jain A. Orlitsky V. Ravindrakumar 104 6 0 22 Feb 2020
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models A. Krishnamurthy A. Mazumdar A. Mcgregor S. Pal 11 7 0 19 Jan 2020
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments Sitan Chen Jingkai Li Zhao Song 31 39 0 16 Dec 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 44 16 0 05 Nov 2019
Generalized Resilience and Robust Statistics Banghua Zhu Jiantao Jiao Jacob Steinhardt 35 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 37 9 0 18 Jul 2019
Private Hypothesis Selection Mark Bun Gautam Kamath Thomas Steinke Zhiwei Steven Wu 25 89 0 30 May 2019
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression Gil Kur Y. Dagan Alexander Rakhlin 16 25 0 13 Mar 2019
Data Amplification: Instance-Optimal Property Estimation Yi Hao A. Orlitsky 28 20 0 04 Mar 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 51 766 0 12 Nov 2018
Density estimation for shift-invariant multidimensional distributions Jonathan Levy M. J. van der Laan Rocco A. Servedio OOD 17 5 0 09 Nov 2018
Robust Nonparametric Regression under Huber's $ε$ -contamination Model S. Du Yining Wang Sivaraman Balakrishnan Pradeep Ravikumar Aarti Singh 28 12 0 26 May 2018
Fast Multivariate Log-Concave Density Estimation Fabian Rathke Christoph Schnörr 45 9 0 18 May 2018
Testing Identity of Multidimensional Histograms Ilias Diakonikolas D. Kane John Peebles 19 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 26 24 0 28 Feb 2018
Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms Ilias Diakonikolas Jerry Li Ludwig Schmidt 29 20 0 23 Feb 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication Jayadev Acharya Ziteng Sun Huanyu Zhang 26 148 0 13 Feb 2018
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising Sujayam Saha Adityanand Guntuboyina 49 46 0 06 Dec 2017
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians Ilias Diakonikolas D. Kane Alistair Stewart 27 146 0 20 Nov 2017
Sample-Efficient Learning of Mixtures H. Ashtiani Shai Ben-David Abbas Mehrabian 13 25 0 06 Jun 2017
Near-Optimal Closeness Testing of Discrete Histogram Distributions Ilias Diakonikolas D. Kane Vladimir Nikishkin 34 30 0 06 Mar 2017
Computationally Efficient Robust Estimation of Sparse Functionals S. Du Sivaraman Balakrishnan Aarti Singh 32 18 0 24 Feb 2017
Testing Bayesian Networks C. Canonne Ilias Diakonikolas D. Kane Alistair Stewart TPM 27 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 38 230 0 10 Nov 2016
Fast Algorithms for Segmented Regression Jayadev Acharya Ilias Diakonikolas Jerry Li Ludwig Schmidt 34 31 0 14 Jul 2016
Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng Ilias Diakonikolas D. Kane Alistair Stewart OOD 48 46 0 23 Jun 2016
Efficient Robust Proper Learning of Log-concave Distributions Ilias Diakonikolas D. Kane Alistair Stewart 40 30 0 09 Jun 2016
Learning Multivariate Log-concave Distributions Ilias Diakonikolas D. Kane Alistair Stewart 49 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 34 508 0 21 Apr 2016
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time Ilias Diakonikolas D. Kane Alistair Stewart 50 28 0 12 Nov 2015
Optimal Algorithms and Lower Bounds for Testing Closeness of Structured Distributions Ilias Diakonikolas D. Kane Vladimir Nikishkin 16 48 0 22 Aug 2015
Optimal Testing for Properties of Distributions Jayadev Acharya C. Daskalakis Gautam Kamath 27 159 0 21 Jul 2015