| 2025 | ALT | A Unified Theory of Supervised Online Learnability. | Vinod Raman, Unique Subedi, Ambuj Tewari |
| 2025 | COLT | Generation through the lens of learning theory. | Vinod Raman, Jiaxun Li, Ambuj Tewari |
| 2025 | ICML | Tracking The Best Expert Privately. | Hilal Asi, Vinod Raman, Aadirupa Saha |
| 2025 | ICML | Faster Rates for Private Adversarial Bandits. | Hilal Asi, Vinod Raman, Kunal Talwar |
| 2025 | ICML | Representative Language Generation. | Charlotte Peale, Vinod Raman, Omer Reingold |
| 2025 | ICML | Generation from Noisy Examples. | Ananth Raman, Vinod Raman |
| 2024 | ALT | Multiclass Online Learnability under Bandit Feedback. | Ananth Raman, Vinod Raman, Unique Subedi, Idan Mehalel, Ambuj Tewari |
| 2024 | ALT | Online Infinite-Dimensional Regression: Learning Linear Operators. | Unique Subedi, Vinod Raman, Ambuj Tewari |
| 2024 | COLT | Apple Tasting: Combinatorial Dimensions and Minimax Rates. | Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari |
| 2024 | COLT | Online Learning with Set-valued Feedback. | Vinod Raman, Unique Subedi, Ambuj Tewari |
| 2023 | COLT | Multiclass Online Learning and Uniform Convergence. | Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, Ambuj Tewari |