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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
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Provably learning a multi-head attention layer
Provably learning a multi-head attention layer
Sitan Chen
Yuanzhi Li
MLT
92
17
0
06 Feb 2024
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
111
2
0
31 Jul 2023
Robust Estimation under the Wasserstein Distance
Robust Estimation under the Wasserstein Distance
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
95
5
0
02 Feb 2023
Learning (Very) Simple Generative Models Is Hard
Learning (Very) Simple Generative Models Is Hard
Sitan Chen
Jungshian Li
Yuanzhi Li
76
11
0
31 May 2022
1