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Continuized Acceleration for Quasar Convex Functions in Non-Convex
  Optimization

Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization

15 February 2023
Jun-Kun Wang
Andre Wibisono
ArXivPDFHTML

Papers citing "Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization"

15 / 15 papers shown
Title
Averaging on the Bures-Wasserstein manifold: dimension-free convergence
  of gradient descent
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler
Sinho Chewi
P. Gerber
Austin J. Stromme
72
36
0
16 Jun 2021
Non-asymptotic convergence bounds for Wasserstein approximation using
  point clouds
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Q. Mérigot
F. Santambrogio
Clément Sarrazin
36
28
0
15 Jun 2021
A Continuized View on Nesterov Acceleration for Stochastic Gradient
  Descent and Randomized Gossip
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
Mathieu Even
Raphael Berthier
Francis R. Bach
Nicolas Flammarion
Pierre Gaillard
Hadrien Hendrikx
Laurent Massoulié
Adrien B. Taylor
104
20
0
10 Jun 2021
The Two Regimes of Deep Network Training
The Two Regimes of Deep Network Training
Guillaume Leclerc
Aleksander Madry
66
45
0
24 Feb 2020
Learning a Single Neuron with Gradient Methods
Learning a Single Neuron with Gradient Methods
Gilad Yehudai
Ohad Shamir
MLT
56
63
0
15 Jan 2020
Momentum-Based Variance Reduction in Non-Convex SGD
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky
Francesco Orabona
ODL
84
407
0
24 May 2019
Understanding the Acceleration Phenomenon via High-Resolution
  Differential Equations
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Bin Shi
S. Du
Michael I. Jordan
Weijie J. Su
58
259
0
21 Oct 2018
Fast and Faster Convergence of SGD for Over-Parameterized Models and an
  Accelerated Perceptron
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron
Sharan Vaswani
Francis R. Bach
Mark Schmidt
80
298
0
16 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
65
426
0
25 Sep 2018
The Marginal Value of Adaptive Gradient Methods in Machine Learning
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia Wilson
Rebecca Roelofs
Mitchell Stern
Nathan Srebro
Benjamin Recht
ODL
65
1,030
0
23 May 2017
Gradient Descent Learns Linear Dynamical Systems
Gradient Descent Learns Linear Dynamical Systems
Moritz Hardt
Tengyu Ma
Benjamin Recht
105
240
0
16 Sep 2016
The local convexity of solving systems of quadratic equations
The local convexity of solving systems of quadratic equations
Christopher D. White
Sujay Sanghavi
Rachel A. Ward
57
72
0
25 Jun 2015
On Graduated Optimization for Stochastic Non-Convex Problems
On Graduated Optimization for Stochastic Non-Convex Problems
Elad Hazan
Kfir Y. Levy
Shai Shalev-Shwartz
72
117
0
12 Mar 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
162
1,166
0
04 Mar 2015
Efficient Learning of Generalized Linear and Single Index Models with
  Isotonic Regression
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade
Adam Tauman Kalai
Varun Kanade
Ohad Shamir
192
179
0
11 Apr 2011
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