| Following high-level navigation instructions on a simulated quadcopter with imitation learning V Blukis, N Brukhim, A Bennett, RA Knepper, Y Artzi arXiv preprint arXiv:1806.00047, 2018 | 62 | 2018 |
| A characterization of multiclass learnability N Brukhim, D Carmon, I Dinur, S Moran, A Yehudayoff 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 44* | 2022 |
| Boosting for control of dynamical systems N Agarwal, N Brukhim, E Hazan, Z Lu International Conference on Machine Learning, 96-103, 2020 | 19* | 2020 |
| Projection-free adaptive regret with membership oracles Z Lu, N Brukhim, P Gradu, E Hazan International Conference on Algorithmic Learning Theory, 1055-1073, 2023 | 13 | 2023 |
| Online boosting with bandit feedback N Brukhim, E Hazan Algorithmic Learning Theory, 397-420, 2021 | 11 | 2021 |
| Online agnostic boosting via regret minimization N Brukhim, X Chen, E Hazan, S Moran Advances in Neural Information Processing Systems 33, 644-654, 2020 | 10 | 2020 |
| Predict and constrain: Modeling cardinality in deep structured prediction N Brukhim, A Globerson International Conference on Machine Learning, 659-667, 2018 | 10 | 2018 |
| A boosting approach to reinforcement learning N Brukhim, E Hazan, K Singh Advances in Neural Information Processing Systems 35, 33806-33817, 2022 | 8 | 2022 |
| Multiclass boosting and the cost of weak learning N Brukhim, E Hazan, S Moran, I Mukherjee, RE Schapire Advances in Neural Information Processing Systems 34, 3057-3067, 2021 | 8 | 2021 |
| Improper multiclass boosting N Brukhim, S Hanneke, S Moran The Thirty Sixth Annual Conference on Learning Theory, 5433-5452, 2023 | 3 | 2023 |
| Multiclass boosting: simple and intuitive weak learning criteria N Brukhim, A Daniely, Y Mansour, S Moran Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| A unified model and dimension for interactive estimation N Brukhim, M Dudik, A Pacchiano, RE Schapire Advances in Neural Information Processing Systems 36, 64589-64617, 2023 | | 2023 |
Elad HazanProfessor at Princeton University and Director Google AI Princeton在 princeton.edu 的电子邮件经过验证
