Scholar
Felix Zhou
Google Scholar ID: -rmwqqoAAAAJ
PhD Student, Yale University
Citations & Impact
Citations
86
H-index
5
i10-index
3
Publications
11
Co-authors
18
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Supported by an NSERC Postgraduate Scholarship
- Multiple papers accepted to top venues including NeurIPS, ICML, RANDOM, SOSA, and SAGT
- ICML 2024 paper 'Replicable Learning of Large-Margin Halfspaces' selected as Spotlight (top 3.5%)
- Preprints include 'Private Training & Data Generation by Clustering Embeddings', 'Differentially Private Matchings', etc.
- Collaborated with prominent researchers such as Samson Zhou, Vahab Mirrokni, Amin Karbasi, Grigoris Velegkas, and Quanquan C. Liu
Research Experience
- Summer 2025: Research intern at Apple Research (Machine Learning Research team), hosted by Kunal Talwar
- July 2024 – February 2025: Student researcher at Google Research (NYC Algorithms & Optimization Group), hosted by Vincent Cohen-Addad and Alessandro Epasto
- Interned at Hudson River Trading as an algorithm developer
- Interned at HomeX Labs on an online stochastic reservation problem
- Earlier interned at Google Mountain View office on distributed graph algorithms
Background
- Third-year CS PhD student in the Theory Group at Yale University
- Broadly interested in the theory and practice of algorithms for reliable machine learning
- Focuses on stable algorithms (differential privacy, replicability, Lipschitzness)
- Studies algorithms robust to systematic data biases (coarsening, censoring, truncation)
- Recently exploring private synthetic data generation and language models
