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Lin F. Yang
Associate Professor, Electrical and Computer Engineering / Computer Science, University of California, Los Angeles
Joined
February 2019
Names
Lin F. Yang
(Preferred)
,
lin Yang
,
Lin Yang
Emails
****@princeton.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@ee.ucla.edu
(Confirmed)
,
****@ucla.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Associate Professor
Electrical and Computer Engineering / Computer Science,
University of California, Los Angeles
(ucla.edu)
2025
–
Present
Assistant Professor
Electrical and Computer Engineering / Computer Science,
University of California, Los Angeles
(ucla.edu)
2019
–
2025
Postdoc
ORFE,
Princeton University
(princeton.edu)
2017
–
2019
PhD student
Computer Science / Physics,
Johns Hopkins University
(jhu.edu)
2011
–
2017
Advisors, Relations & Conflicts
No relations added
Expertise
Reinforcement Learning
Present
Streaming algorithms
Present
optimization
Present
Machine Learning Theory
Present
Publications
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
Merve Karakas
,
Osama Hanna
,
Lin F. Yang
,
Christina Fragouli
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics
Readers:
Everyone
Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model
Xingtu Liu
,
Lin F. Yang
,
Sharan Vaswani
ALT 2026
Readers:
Everyone
Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline
Yichen Huang
,
Lin F. Yang
MATH-AI 2025 Poster
Readers:
Everyone
On the optimal regret of collaborative personalized linear bandits
Bruce Huang
,
Ruida Zhou
,
Lin F. Yang
,
Suhas Diggavi
AISTATS 2026 Poster
Readers:
Everyone
Inverse Linear Bandits via Linear Programs
Ziqing Song
,
Lin F. Yang
,
Ruosong Wang
Submitted to ICLR 2026
Readers:
Everyone
LACONIC: Length-Aware Constrained Reinforcement Learning for LLM
Chang Liu
,
Yiran Zhao
,
Yaoqi Ye
,
Lawrence Liu
,
Csaba Szepesvari
,
Lin F. Yang
Submitted to ICLR 2026
Readers:
Everyone
List Replicable Reinforcement Learning
Bohan Zhang
,
Michael Chen
,
A. Pavan
,
N. V. Vinodchandran
,
Lin F. Yang
,
Ruosong Wang
Submitted to ICLR 2026
Readers:
Everyone
Plug-in Sample Complexity For Constrained Reinforcement Learning
Ruosong Wang
,
Lin F. Yang
,
Zihan Zhang
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
Lawrence Liu
,
Alexander Liu
,
Mengdi Wang
,
Tuo Zhao
,
Lin F. Yang
ICLR 2026 Poster
Readers:
Everyone
Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs
Yukuan Wei
,
Xudong Li
,
Lin F. Yang
ICLR 2026 Poster
Readers:
Everyone
View all 54 publications
Co-Authors
A. Pavan
Alex Ayoub
Alexander Liu
Ally Yalei Du
Amin Karbasi
Andrea Soltoggio
András György
Anshumali Shrivastava
Benjamin Epstein
Bohan Zhang
Bolei Zhou
Bruce Huang
Carey Priebe
Chang Liu
Chengyue Huang
Chenshu Liu
Ching-An Cheng
Chris Junchi Li
Christian Sohler
Christina Fragouli
Christos Peridis
Christos Thrampoulidis
Csaba Szepesvari
Da Zheng
David Musliner
View all 126 co-authors