Junchi Yang
10 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🔬 Deep Specialist (10)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Keywords
minimax optimization
(7)
gradient descent ascent
(4)
stochastic gradient descent
(3)
convergence rate
(3)
non-convex optimization
(3)
convex optimization
(2)
variance reduction
(2)
gradient descent
(2)
generative adversarial network
(1)
gradient-based algorithm
(1)
adaptive step size
(1)
momentum method
(1)
data mixture
(1)
adaptive method
(1)
polyak-lojasiewicz condition
(1)
single-loop algorithm
(1)
gradient complexity
(1)
smoothness condition
(1)
proximal point
(1)
domain weighting
(1)
Papers
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
EACL 2026
Parameter-Agnostic Optimization under Relaxed Smoothness
AISTATS 2024
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
NeurIPS 2023
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
ICLR 2023
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
NeurIPS 2023
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
AISTATS 2022
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
NeurIPS 2022
The complexity of nonconvex-strongly-concave minimax optimization
UAI 2021
A Catalyst Framework for Minimax Optimization
NeurIPS 2020
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
NeurIPS 2020