| On learnability wih computable learners S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner Algorithmic Learning Theory, 48-60, 2020 | 33 | 2020 |
| Impossibility results for fair representations T Lechner, S Ben-David, S Agarwal, N Ananthakrishnan arXiv preprint arXiv:2107.03483, 2021 | 15 | 2021 |
| Delegating data collection in decentralized machine learning N Ananthakrishnan, S Bates, M Jordan, N Haghtalab International Conference on Artificial Intelligence and Statistics, 478-486, 2024 | 11 | 2024 |
| Open Problem: Are all VC-classes CPAC learnable? S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner Conference on Learning Theory, 4636-4641, 2021 | 6 | 2021 |
| Is Knowledge Power? On the (Im) possibility of Learning from Strategic Interactions N Ananthakrishnan, N Haghtalab, C Podimata, K Yang Advances in Neural Information Processing Systems 37, 23852-23880, 2024 | 3 | 2024 |
| Privacy Can Arise Endogenously in an Economic System with Learning Agents N Ananthakrishnan, T Ding, M Werner, SP Karimireddy, MI Jordan arXiv preprint arXiv:2404.10767, 2024 | 1 | 2024 |
| Identifying regions of trusted predictions N Ananthakrishnan, S Ben-David, T Lechner, R Urner Uncertainty in Artificial Intelligence, 2125-2134, 2021 | 1 | 2021 |
