A Unified Approach to Controlling Implicit Regularization Using Mirror Descent
Inspired by the remarkable performance of deep neural networks, understanding the generalization performance of overparameterized models and the effect of optimization algorithms on it has become an increasingly popular question. In particular, there has been substantial effort to characterize the s...
主要作者: | Sun, Haoyuan |
---|---|
其他作者: | Jadbabaie, Ali |
格式: | Thesis |
出版: |
Massachusetts Institute of Technology
2023
|
在線閱讀: | https://hdl.handle.net/1721.1/151464 https://orcid.org/0000-0002-6203-0198 |
相似書籍
-
Implicit regularization in matrix sensing via mirror descent
由: Wu, F, et al.
出版: (2021) -
Learning mirror maps in policy mirror descent
由: Alfano, C, et al.
出版: (2025) -
A continuous-time mirror descent approach to sparse phase retrieval
由: Wu, F, et al.
出版: (2020) -
The statistical complexity of early-stopped mirror descent
由: Kanade, V, et al.
出版: (2023) -
The statistical complexity of early-stopped mirror descent
由: Vaškevičius, T, et al.
出版: (2020)