Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models

9 June 2022

Papers citing "Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models"

22 / 22 papers shown

Title
Learning General Halfspaces with General Massart Noise under the Gaussian Distribution Ilias Diakonikolas D. Kane Vasilis Kontonis Christos Tzamos Nikos Zarifis 48 26 0 19 Aug 2021
Statistical Query Lower Bounds for List-Decodable Linear Regression Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas Alistair Stewart 39 21 0 17 Jun 2021
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals Ilias Diakonikolas D. Kane Thanasis Pittas Nikos Zarifis 35 50 0 08 Feb 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition Ilias Diakonikolas D. Kane Alistair Stewart Yuxin Sun 63 16 0 03 Feb 2021
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise Ilias Diakonikolas D. Kane 45 26 0 17 Dec 2020
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan Guy Bresler Samuel B. Hopkins Jingkai Li T. Schramm 58 66 0 13 Sep 2020
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals Ilias Diakonikolas D. Kane Nikos Zarifis 63 66 0 29 Jun 2020
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks Ilias Diakonikolas D. Kane Vasilis Kontonis Nikos Zarifis 67 66 0 22 Jun 2020
Learning Ising models from one or multiple samples Y. Dagan C. Daskalakis Nishanth Dikkala Anthimos Vardis Kandiros 52 10 0 20 Apr 2020
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 71 183 0 14 Nov 2019
Non-Gaussian Component Analysis using Entropy Methods Navin Goyal Abhishek Shetty CML 22 8 0 13 Jul 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression Ilias Diakonikolas Weihao Kong Alistair Stewart 77 164 0 31 May 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 129 233 0 25 May 2018
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians Ilias Diakonikolas D. Kane Alistair Stewart 113 147 0 20 Nov 2017
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data C. Daskalakis Nishanth Dikkala Gautam Kamath 52 23 0 11 Oct 2017
Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods Yan Shuo Tan Roman Vershynin 36 11 0 04 Apr 2017
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures Ilias Diakonikolas D. Kane Alistair Stewart 77 233 0 10 Nov 2016
A General Characterization of the Statistical Query Complexity Vitaly Feldman 44 53 0 07 Aug 2016
Agnostic Estimation of Mean and Covariance Kevin A. Lai Anup B. Rao Santosh Vempala 89 347 0 24 Apr 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 73 513 0 21 Apr 2016
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization Vitaly Feldman Cristóbal Guzmán Santosh Vempala 75 89 0 30 Dec 2015
Approximate resilience, monotonicity, and the complexity of agnostic learning Dana Dachman-Soled Vitaly Feldman Li-Yang Tan Andrew Wan K. Wimmer 48 31 0 21 May 2014