| Selective classification via one-sided prediction A Gangrade, A Kag, V Saligrama International Conference on Artificial Intelligence and Statistics, 2179-2187, 2021 | 52 | 2021 |
| Efficient edge inference by selective query A Kag, I Fedorov International Conference on Learning Representations, 2023 | 20 | 2023 |
| Piecewise linear regression via a difference of convex functions A Siahkamari, A Gangrade, B Kulis, V Saligrama International conference on machine learning, 8895-8904, 2020 | 20 | 2020 |
| Universal inference meets random projections: a scalable test for log-concavity R Dunn, A Gangrade, L Wasserman, A Ramdas arXiv preprint arXiv:2111.09254, 2021 | 17 | 2021 |
| A sequential test for log-concavity A Gangrade, A Rinaldo, A Ramdas arXiv preprint arXiv:2301.03542, 2023 | 14 | 2023 |
| Budget learning via bracketing DAE Acar, A Gangrade, V Saligrama International Conference on Artificial Intelligence and Statistics, 4109-4119, 2020 | 13 | 2020 |
| Safe Linear Bandits over Unknown Polytopes A Gangrade, T Chen, V Saligrama The Thirty Seventh Annual Conference on Learning Theory, 1755-1795, 2024 | 12* | 2024 |
| Strategies for safe multi-armed bandits with logarithmic regret and risk T Chen, A Gangrade, V Saligrama International Conference on Machine Learning, 3123-3148, 2022 | 12 | 2022 |
| Efficient near-optimal testing of community changes in balanced stochastic block models A Gangrade, P Venkatesh, B Nazer, V Saligrama Advances in Neural Information Processing Systems 32, 2019 | 12* | 2019 |
| Limits on testing structural changes in Ising models A Gangrade, B Nazer, V Saligrama Advances in Neural Information Processing Systems 33, 9878-9889, 2020 | 10* | 2020 |
| Scaffolding a student to instill knowledge A Kag, DAE Acar The Eleventh International Conference on Learning Representations, 2023 | 6 | 2023 |
| Online selective classification with limited feedback A Gangrade, A Kag, A Cutkosky, V Saligrama Advances in Neural Information Processing Systems 34, 14529-14541, 2021 | 6 | 2021 |
| Counterfactually comparing abstaining classifiers YJ Choe, A Gangrade, A Ramdas Advances in Neural Information Processing Systems 36, 28281-28293, 2023 | 3 | 2023 |
| Constrained Linear Thompson Sampling A Gangrade, V Saligrama arXiv preprint arXiv:2503.02043, 2025 | | 2025 |
| SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models K Miller, S Mishra, A Gangrade, K Saenko, V Saligrama arXiv preprint arXiv:2502.16911, 2025 | | 2025 |
| Label noise: Ignorance is bliss Y Zhu, J Zhang, A Gangrade, C Scott Advances in Neural Information Processing Systems 37, 116575-116616, 2024 | | 2024 |
| Testing the feasibility of linear programs with bandit feedback A Gangrade, A Gopalan, V Saligrama, C Scott arXiv preprint arXiv:2406.15648, 2024 | | 2024 |
| Scaffolding a student to instill knowledge V Saligrama, A Kag, DAE Acar, A Gangrade | | 2023 |
| Two studies in resource-efficient inference: structural testing of networks, and selective classification A Gangrade Boston University, 2022 | | 2022 |
| Online Contextual Learning with Limited Feedback SR Chowdhury, A Gangrade, A Cutkosky, V Saligrama | | |
