default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuodong Zhang 0006
Person information
- affiliation: University of Toronto, Department of Computer Science, Vector Institute, Toronto, Canada
Other persons with the same name
- Guodong Zhang — disambiguation page
- Guodong Zhang 0001
![[0000-0002-8323-9126]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8323-9126")
— South-Central University for Nationalities, Wuhan, China - Guodong Zhang 0002 — Tokushima University, Tokushima, Japan
- Guodong Zhang 0003 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Guodong Zhang 0004 — Tsinghua University, Shenzhen, China
- Guodong Zhang 0005 — Shenyang Aerospace University, Shenyang, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2021
[j1]Guodong Zhang, Xuchan Bao, Laurent Lessard, Roger B. Grosse:
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints. J. Mach. Learn. Res. 22: 103:1-103:39 (2021)
Conference and Workshop Papers
- 2022
- [c13]Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse:
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. AISTATS 2022: 7659-7679 - 2021
- [c12]Guodong Zhang, Yuanhao Wang:
On the Suboptimality of Negative Momentum for Minimax Optimization. AISTATS 2021: 2098-2106 - [c11]Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B. Grosse:
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise. NeurIPS 2021: 19398-19410 - 2020
- [c10]Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba:
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. AISTATS 2020: 3621-3631 - [c9]Yuanhao Wang, Guodong Zhang, Jimmy Ba:
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. ICLR 2020 - [c8]Chaoqi Wang, Guodong Zhang, Roger B. Grosse:
Picking Winning Tickets Before Training by Preserving Gradient Flow. ICLR 2020 - 2019
- [c7]Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional variational Bayesian Neural Networks. ICLR (Poster) 2019 - [c6]Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse:
Three Mechanisms of Weight Decay Regularization. ICLR (Poster) 2019 - [c5]Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. ICML 2019: 6566-6575 - [c4]Guodong Zhang, James Martens, Roger B. Grosse:
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks. NeurIPS 2019: 8080-8091 - [c3]Guodong Zhang, Lala Li, Zachary Nado, James Martens, Sushant Sachdeva, George E. Dahl, Christopher J. Shallue, Roger B. Grosse:
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model. NeurIPS 2019: 8194-8205 - 2018
- [c2]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. ICML 2018: 4835-4844 - [c1]Guodong Zhang, Shengyang Sun, David Duvenaud, Roger B. Grosse:
Noisy Natural Gradient as Variational Inference. ICML 2018: 5847-5856
Informal and Other Publications
- 2021
- [i17]Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse:
Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. CoRR abs/2102.09468 (2021) - [i16]Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B. Grosse:
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise. CoRR abs/2107.10211 (2021) - [i15]Cem Anil, Guodong Zhang, Yuhuai Wu, Roger B. Grosse:
Learning to Give Checkable Answers with Prover-Verifier Games. CoRR abs/2108.12099 (2021) - 2020
- [i14]Chaoqi Wang, Guodong Zhang, Roger Baker Grosse:
Picking Winning Tickets Before Training by Preserving Gradient Flow. CoRR abs/2002.07376 (2020) - [i13]Guodong Zhang, Yuanhao Wang:
On the Suboptimality of Negative Momentum for Minimax Optimization. CoRR abs/2008.07459 (2020) - [i12]Guodong Zhang, Xuchan Bao, Laurent Lessard, Roger B. Grosse:
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints. CoRR abs/2009.11359 (2020) - 2019
- [i11]Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba:
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. CoRR abs/1902.08234 (2019) - [i10]Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional Variational Bayesian Neural Networks. CoRR abs/1903.05779 (2019) - [i9]Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. CoRR abs/1905.05934 (2019) - [i8]Guodong Zhang, James Martens, Roger B. Grosse:
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks. CoRR abs/1905.10961 (2019) - [i7]Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric D. Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba:
Benchmarking Model-Based Reinforcement Learning. CoRR abs/1907.02057 (2019) - [i6]Guodong Zhang, Lala Li, Zachary Nado, James Martens, Sushant Sachdeva, George E. Dahl, Christopher J. Shallue, Roger B. Grosse:
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model. CoRR abs/1907.04164 (2019) - [i5]Yuanhao Wang, Guodong Zhang, Jimmy Ba:
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. CoRR abs/1910.07512 (2019) - 2018
- [i4]Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. CoRR abs/1806.04326 (2018) - [i3]Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse:
Three Mechanisms of Weight Decay Regularization. CoRR abs/1810.12281 (2018) - [i2]Juhan Bae, Guodong Zhang, Roger B. Grosse:
Eigenvalue Corrected Noisy Natural Gradient. CoRR abs/1811.12565 (2018) - 2017
- [i1]Guodong Zhang, Shengyang Sun, David Duvenaud, Roger B. Grosse:
Noisy Natural Gradient as Variational Inference. CoRR abs/1712.02390 (2017)
Coauthor Index
aka: Roger Baker Grosse
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-05 21:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
