Scholar
John Lazarsfeld
Google Scholar ID: RDXWOIUAAAAJ
Singapore University of Technology and Design
Citations & Impact
Citations
31
H-index
4
i10-index
1
Publications
13
Co-authors
0
Contact
Publications
Resume
Academic Achievements
- Publications include 'Optimism Without Regularization: Constant Regret in Zero-Sum Games' (NeurIPS 2025); 'Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play' (COLT 2025), among others. Preprints: 'Online Multi-Agent Control with Adversarial Disturbances' (May 2025); 'Optimistic Online Learning in Symmetric Cone Games' (March 2025).
Research Experience
- Started as a postdoctoral research fellow at SUTD in Singapore in September 2024, working with Georgios Piliouras and Antonios Varvitsiotis; interned with the privacy-preserving machine learning research group at Meta in NYC during Summer 2022, collaborating with Sen Yuan and Huanyu Zhang.
Education
- Received a PhD in Computer Science from Yale University in May 2024, advised by James Aspnes; visited IST Austria in 2023 and summer 2024, hosted by Dan Alistarh and Krish Chatterjee.
Background
- Research interests lie at the intersection of theoretical computer science and machine learning, including online learning, game theory, optimization, bandits/decision making, distributed algorithms, opinion dynamics, and computation in multi-agent settings.
Miscellany
- Co-designed and co-instructed a new graduate-level course on 'Online Learning and Learning in Games' at SUTD.