影响力指数

74.73/100

前 1.9%

全站排名 #1,234

发表论文11 篇

平均评分5.9

年均产出3.7 篇/年

Lingzhou Xue

Full Professor@Pennsylvania State University·美国·OpenReview

研究方向

high-dimensional statistics · nonparametric statistics · statistical learning · federated learning · reinforcement learning · nonconvex optimization · manifold optimization

6.5

Q-Learning with Fine-Grained Gap-Dependent Regret

ICLR 2026Poster

三作

3.0

PrunedLoRA: Robust Gradient-Based Structured Pruning for Low-rank Adaptation in Fine-tuning

ICLR 2026Rejected

7.5

Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition

ICLR 2025Spotlight

三作

7.1

Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions

NeurIPS 2025Poster

三作

6.8

Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning

NeurIPS 2025Poster

三作

6.8

AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections

NeurIPS 2025Poster

通讯

6.6

Gap-Dependent Bounds for Federated $Q$-Learning

ICML 2025Poster

三作

6.2

Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost

ICLR 2025Poster

三作

5.2

The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency

ICLR 2025Rejected

3.7

Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees

合作者 (16)