Scholar
Vitaly Feldman
Google Scholar ID: GqZBmfgAAAAJ
Apple
Citations & Impact
Citations
6,631
H-index
34
i10-index
71
Publications
20
Co-authors
38
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Served on program committees and as chair for top-tier conferences: co-chair of COLT 2016 and ALT 2021; senior PC or area chair for NeurIPS, ICML, ICLR, COLT (2020–2025).
- Co-organized key workshops including Apple’s Privacy Preserving Machine Learning workshops (2021–2024), and Simons Institute programs such as 'Privacy and the Science of Data Analysis' (2019).
- Published extensively in leading venues; notable works include:
- — 'Trade-offs in Data Memorization via Strong Data Processing Inequalities' (COLT 2025), Best Paper Award at ICML 2025 MemFM workshop;
- — 'Instance-Optimal Private Density Estimation in the Wasserstein Distance' (NeurIPS 2024);
- — 'Fast Optimal Locally Private Mean Estimation via Random Projections' (NeurIPS 2023);
- — 'Stronger Privacy Amplification by Shuffling for Renyi and Approximate Differential Privacy' (SODA 2023);
- — Multiple papers in ICML, NeurIPS, STOC, FOCS, often collaborating with Kunal Talwar.
- Steering committee member of the Association for Computational Learning (2015–2022) and the Association for Algorithmic Learning Theory (2019–2022).
