Zaiwen Wen
7 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
π
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory Β· Machine Learning
(4)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Methods
(2)
Resources & Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
large language model
(3)
sample complexity
(2)
offline reinforcement learning
(1)
non-convex optimization
(1)
mathematical reasoning
(1)
deep learning
(1)
gradient estimation
(1)
off-policy learning
(1)
hessian approximation
(1)
finite-time analysis
(1)
constrained markov decision process
(1)
safe reinforcement learning
(1)
convergence guarantee
(1)
quasi-newton method
(1)
primal-dual method
(1)
memory efficiency
(1)
zeroth-order optimization
(1)
parameter-efficient fine-tuning
(1)
data synthesis
(1)
rejection sampling
(1)
Papers
SITA: A Framework for Structure-to-Instance Theorem Autoformalization
AAAI 2026
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
ICML 2025
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
ICLR 2025
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
ICML 2025
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
ICML 2024
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
NeurIPS 2022
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods
CVPR 2021