Scholar
Ari Karchmer
Google Scholar ID: 2h-bhmcAAAAJ
Morgan Stanley Machine Learning Research
Citations & Impact
Citations
21
H-index
3
i10-index
0
Publications
7
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- ['"Efficiently Verifiable Proofs of Data Attribution", NeurIPS 2025 (to appear)', '"The Power of Random Features and the Limits of Distribution Free Gradient Descent", ICML 2025', '"On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning", ICML 2024 (Spotlight paper, 3.5% acceptance rate)', '"Agnostic Membership Query Learning with Nontrivial Savings: New Results and Techniques", ALT 2024', '"Distributional PAC-Learning from Nisan's Natural Proofs", ITCS 2024 (Best Student Paper Award; invited to TheoretiCS)', '"Theoretical Limits of Provable Security Against Model Extraction by Efficient Observational Defenses", SaTML 2023', '"Covert Learning: How to Learn with an Untrusted Intermediary", TCC 2021 (invited to Journal of Cryptology)']
Co-authors