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Minimax Optimality (Probably) Doesn't Imply Distribution Learning for
  GANs

Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs

18 January 2022
Sitan Chen
Jungshian Li
Yuanzhi Li
Raghu Meka
    GAN
ArXivPDFHTML

Papers citing "Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs"

4 / 4 papers shown
Title
Statistically Optimal Generative Modeling with Maximum Deviation from
  the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
37
2
0
31 Jul 2023
Robust Estimation under the Wasserstein Distance
Robust Estimation under the Wasserstein Distance
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
36
4
0
02 Feb 2023
From Local Pseudorandom Generators to Hardness of Learning
From Local Pseudorandom Generators to Hardness of Learning
Amit Daniely
Gal Vardi
109
30
0
20 Jan 2021
Statistical guarantees for generative models without domination
Statistical guarantees for generative models without domination
Nicolas Schreuder
Victor-Emmanuel Brunel
A. Dalalyan
GAN
65
34
0
19 Oct 2020
1