Scholar
Meisam Razaviyayn
Google Scholar ID: -qhGYywAAAAJ
University of Southern California
Optimization
Machine Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
6,636
H-index
32
i10-index
61
Publications
20
Co-authors
14
list available
Contact
CV
Open ↗
GitHub
Open ↗
Publications
15 items
Early Stopping for Large Reasoning Models via Confidence Dynamics
2026
Cited
0
Memory Caching: RNNs with Growing Memory
2026
Cited
0
Less is More: Convergence Benefits of Fewer Data Weight Updates over Longer Horizon
2026
Cited
0
Sampling and Loss Weights in Multi-Domain Training
2025
Cited
0
TNT: Improving Chunkwise Training for Test-Time Memorization
2025
Cited
0
On the Inherent Privacy of Zeroth Order Projected Gradient Descent
2025
Cited
0
Memory-Efficient Differentially Private Training with Gradient Random Projection
2025
Cited
0
ATLAS: Learning to Optimally Memorize the Context at Test Time
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
2024: Multiple papers published in NeurIPS, IEEE Transactions on Intelligent Transportation Systems, and on arXiv
2024: Project 'Making Generative AI Accessible' funded by USC Office of Research and Innovation
2024: Gift funding from Amazon to improve differentially private training of large models
2024: NSF funding awarded to support student attendance at ICCOPT
2022: NSF CAREER Award
2022: Northrop Grumman Excellence in Teaching Award
2021: AFOSR Young Investigator Award
2021: 3M Nontenured Faculty Award
2020: ICCM Best Paper Award in Mathematics
2019: IEEE Data Science Workshop Best Paper Award
2014: Signal Processing Society Young Author Best Paper Award
2013 & 2016: Finalist for Best Paper Prize for Young Researcher in Continuous Optimization
Silver medalist, Iran’s National Mathematics Olympiad
Research Experience
Currently Associate Professor with joint appointments at USC
Former Postdoctoral Research Fellow, Department of Electrical Engineering, Stanford University
Former Visiting Scientist, Simons Institute for the Theory of Computing, UC Berkeley
Associate Editor, SIAM Journal on Optimization (since November 2024)
Action Editor, Transactions on Machine Learning Research (TMLR) (since November 2024)
Co-authors
14 total
Zhi-Quan Luo
Professor, The Chinese University of Hong Kong, Shenzhen, China
Mingyi Hong
Associate Professor, University of Minnesota; Amazon AGI
Maziar Sanjabi
Meta AI
Co-author 4
Jason D. Lee
Associate Professor of EECS & Statistics at UC Berkeley
Ahmad Beirami
Google DeepMind
Co-author 7
Shiqian Ma
Rice University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up