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Learning Polynomials of Few Relevant Dimensions

Learning Polynomials of Few Relevant Dimensions

28 April 2020
Sitan Chen
Raghu Meka
ArXivPDFHTML

Papers citing "Learning Polynomials of Few Relevant Dimensions"

15 / 15 papers shown
Title
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Berfin Simsek
Amire Bendjeddou
Daniel Hsu
90
0
0
13 Nov 2024
Robust Feature Learning for Multi-Index Models in High Dimensions
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini
Adel Javanmard
Murat A. Erdogdu
OOD
AAML
85
1
0
21 Oct 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Alireza Mousavi-Hosseini
Denny Wu
Murat A. Erdogdu
MLT
AI4CE
48
6
0
14 Aug 2024
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions
Luca Arnaboldi
Yatin Dandi
Florent Krzakala
Luca Pesce
Ludovic Stephan
86
13
0
24 May 2024
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
52
6
0
20 Jul 2023
Learning Two-layer Neural Networks with Symmetric Inputs
Learning Two-layer Neural Networks with Symmetric Inputs
Rong Ge
Rohith Kuditipudi
Zhize Li
Xiang Wang
OOD
MLT
87
57
0
16 Oct 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
44
289
0
07 Mar 2018
Learning One-hidden-layer Neural Networks with Landscape Design
Learning One-hidden-layer Neural Networks with Landscape Design
Rong Ge
Jason D. Lee
Tengyu Ma
MLT
91
260
0
01 Nov 2017
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi Zhang
Sashank J. Reddi
S. Sra
75
240
0
23 May 2016
The generalized Lasso with non-linear observations
The generalized Lasso with non-linear observations
Y. Plan
Roman Vershynin
100
199
0
13 Feb 2015
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
Anima Anandkumar
Rong Ge
Majid Janzamin
65
27
0
06 Nov 2014
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Emmanuel Candes
Xiaodong Li
Mahdi Soltanolkotabi
96
1,282
0
03 Jul 2014
High-dimensional estimation with geometric constraints
High-dimensional estimation with geometric constraints
Y. Plan
Roman Vershynin
E. Yudovina
93
144
0
14 Apr 2014
Phase Retrieval using Alternating Minimization
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
132
632
0
02 Jun 2013
Online Identification and Tracking of Subspaces from Highly Incomplete
  Information
Online Identification and Tracking of Subspaces from Highly Incomplete Information
Laura Balzano
Robert D. Nowak
Benjamin Recht
75
423
0
21 Jun 2010
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