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Stochastic Chebyshev Gradient Descent for Spectral Optimization
v1v2v3 (latest)

Stochastic Chebyshev Gradient Descent for Spectral Optimization

18 February 2018
Insu Han
H. Avron
Jinwoo Shin
ArXiv (abs)PDFHTML

Papers citing "Stochastic Chebyshev Gradient Descent for Spectral Optimization"

4 / 4 papers shown
Title
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
213
98
0
10 Dec 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent
  Variable Models
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Yucen Luo
Alex Beatson
Mohammad Norouzi
Jun Zhu
David Duvenaud
Ryan P. Adams
Ricky T. Q. Chen
131
29
0
01 Apr 2020
Residual Flows for Invertible Generative Modeling
Residual Flows for Invertible Generative Modeling
Ricky T. Q. Chen
Jens Behrmann
David Duvenaud
J. Jacobsen
BDLTPMDRL
179
378
0
06 Jun 2019
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCVTPM
183
625
0
02 Nov 2018
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