Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent

13 September 2020

Papers citing "Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent"

50 / 52 papers shown

Title
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions Fabiola Ricci Lorenzo Bardone Sebastian Goldt OOD 141 0 0 31 Mar 2025
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension Gautam Chandrasekaran Adam R. Klivans Vasilis Kontonis Raghu Meka Konstantinos Stavropoulos 68 2 0 01 Jul 2024
Computational Barriers to Estimation from Low-Degree Polynomials T. Schramm Alexander S. Wein 51 60 0 05 Aug 2020
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent Surbhi Goel Aravind Gollakota Zhihan Jin Sushrut Karmalkar Adam R. Klivans MLT ODL 45 71 0 22 Jun 2020
Free Energy Wells and Overlap Gap Property in Sparse PCA Gerard Ben Arous Alexander S. Wein Ilias Zadik 29 32 0 18 Jun 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits Yuetian Luo Anru R. Zhang 80 44 0 21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 49 86 0 16 May 2020
Counterexamples to the Low-Degree Conjecture Justin Holmgren Alexander S. Wein 23 14 0 17 Apr 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 462 4,662 0 23 Jan 2020
Deep Double Descent: Where Bigger Models and More Data Hurt Preetum Nakkiran Gal Kaplun Yamini Bansal Tristan Yang Boaz Barak Ilya Sutskever 107 925 0 04 Dec 2019
The Overlap Gap Property in Principal Submatrix Recovery D. Gamarnik Aukosh Jagannath S. Sen 40 28 0 26 Aug 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio Dmitriy Kunisky Alexander S. Wein Afonso S. Bandeira 57 137 0 26 Jul 2019
Subexponential-Time Algorithms for Sparse PCA Yunzi Ding Dmitriy Kunisky Alexander S. Wein Afonso S. Bandeira 66 58 0 26 Jul 2019
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds Jonathan A. Kelner Frederic Koehler Raghu Meka Ankur Moitra 103 32 0 03 May 2019
The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property D. Gamarnik Ilias Zadik 19 38 0 15 Apr 2019
The Kikuchi Hierarchy and Tensor PCA Alexander S. Wein A. Alaoui Cristopher Moore 36 57 0 08 Apr 2019
How Hard Is Robust Mean Estimation? Samuel B. Hopkins Jerry Li 23 36 0 19 Mar 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness Matthew Brennan Guy Bresler 41 50 0 20 Feb 2019
Computational Hardness of Certifying Bounds on Constrained PCA Problems Afonso S. Bandeira Dmitriy Kunisky Alexander S. Wein 44 64 0 19 Feb 2019
Universality of Computational Lower Bounds for Submatrix Detection Matthew Brennan Guy Bresler Wasim Huleihel 57 26 0 19 Feb 2019
Algorithmic thresholds for tensor PCA Gerard Ben Arous Reza Gheissari Aukosh Jagannath 95 84 0 02 Aug 2018
High-dimensional estimation via sum-of-squares proofs P. Raghavendra T. Schramm David Steurer 23 58 0 30 Jul 2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models Amelia Perry Alexander S. Wein Afonso S. Bandeira Ankur Moitra 42 108 0 02 Jul 2018
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure Matthew Brennan Guy Bresler Wasim Huleihel 86 105 0 19 Jun 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression Ilias Diakonikolas Weihao Kong Alistair Stewart 58 161 0 31 May 2018
Risk and parameter convergence of logistic regression Ziwei Ji Matus Telgarsky 48 129 0 20 Mar 2018
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 85 908 0 27 Oct 2017
Tensor SVD: Statistical and Computational Limits Anru R. Zhang Dong Xia 46 168 0 08 Mar 2017
On the Power of Learning from $k$ -Wise Queries Vitaly Feldman Badih Ghazi 34 2 0 28 Feb 2017
Statistical and computational phase transitions in spiked tensor estimation T. Lesieur Léo Miolane Marc Lelarge Florent Krzakala Lenka Zdeborová 58 116 0 27 Jan 2017
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures Ilias Diakonikolas D. Kane Alistair Stewart 48 230 0 10 Nov 2016
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization Vitaly Feldman Cristóbal Guzmán Santosh Vempala 61 89 0 30 Dec 2015
Sharp Computational-Statistical Phase Transitions via Oracle Computational Model Zhaoran Wang Quanquan Gu Han Liu 126 12 0 30 Dec 2015
Statistical physics of inference: Thresholds and algorithms Lenka Zdeborová Florent Krzakala AI4CE 45 422 0 08 Nov 2015
Tensor principal component analysis via sum-of-squares proofs Samuel B. Hopkins Jonathan Shi David Steurer 90 162 0 12 Jul 2015
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems Y. Deshpande Andrea Montanari 57 85 0 23 Feb 2015
Finding One Community in a Sparse Graph Andrea Montanari 61 68 0 19 Feb 2015
A statistical model for tensor PCA Andrea Montanari E. Richard 38 259 0 04 Nov 2014
Hardness of parameter estimation in graphical models Guy Bresler D. Gamarnik Devavrat Shah 34 32 0 12 Sep 2014
Computational Implications of Reducing Data to Sufficient Statistics Andrea Montanari 36 38 0 12 Sep 2014
Computational Lower Bounds for Community Detection on Random Graphs Bruce Hajek Yihong Wu Jiaming Xu 79 113 0 25 Jun 2014
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices Yudong Chen Jiaming Xu 171 213 0 06 Feb 2014
Computational barriers in minimax submatrix detection Zongming Ma Yihong Wu 150 149 0 23 Sep 2013
Limits of local algorithms over sparse random graphs D. Gamarnik Madhu Sudan 54 163 0 05 Apr 2013
Low-rank Matrix Completion using Alternating Minimization Prateek Jain Praneeth Netrapalli Sujay Sanghavi 161 1,066 0 03 Dec 2012
Computational and Statistical Tradeoffs via Convex Relaxation V. Chandrasekaran Michael I. Jordan 73 220 0 05 Nov 2012
Using More Data to Speed-up Training Time Shai Shalev-Shwartz Ohad Shamir Eran Tromer 59 35 0 06 Jun 2011
Detection of correlations E. Arias-Castro Sébastien Bubeck Gábor Lugosi 59 61 0 06 Jun 2011
Settling the Polynomial Learnability of Mixtures of Gaussians Ankur Moitra Gregory Valiant 146 341 0 23 Apr 2010
A Complete Characterization of Statistical Query Learning with Applications to Evolvability Vitaly Feldman 76 77 0 16 Feb 2010