Zhehui Chen
6 papers · 2017–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (7) π Cross-Pollinator (12) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
AISTATS (2)
NIPS (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
stochastic optimization
(1)
dimensionality reduction
(1)
representation learning
(1)
multi-agent reinforcement learning
(1)
stochastic gradient descent
(1)
nonconvex optimization
(1)
non-convex optimization
(1)
robust classification
(1)
global convergence
(1)
adversarial training
(1)
constrained optimization
(1)
sparse regression
(1)
multi-output regression
(1)
sparse optimization
(1)
lipschitz continuity
(1)
learning to learn
(1)
bilevel optimization
(1)
multiview learning
(1)
stackelberg game
(1)
scalable optimization
(1)
Papers
Solving Sparse \& High-Dimensional-Output Regression via Compression
NIPS 2024
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
NIPS 2023
Learning to Defend by Learning to Attack
AISTATS 2021
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
AISTATS 2019
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control
ICLR 2019
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
ICML 2017