| Bypassing the ambient dimension: Private sgd with gradient subspace identification Y Zhou, ZS Wu, A Banerjee International Conference on Learning Representations, 2021, 2021 | 121 | 2021 |
| Recmind: Large language model powered agent for recommendation Y Wang, Z Jiang, Z Chen, F Yang, Y Zhou, E Cho, X Fan, X Huang, Y Lu, ... Findings of the Association for Computational Linguistics: NAACL 2024, 2024 | 105 | 2024 |
| Differentially private online learning for cloud-based video recommendation with multimedia big data in social networks P Zhou, Y Zhou, D Wu, H Jin IEEE transactions on multimedia 18 (6), 1217-1229, 2016 | 99 | 2016 |
| Hessian based analysis of sgd for deep nets: Dynamics and generalization X Li, Q Gu, Y Zhou, T Chen, A Banerjee Proceedings of the 2020 SIAM International Conference on Data Mining, 190-198, 2020 | 60 | 2020 |
| Private stochastic non-convex optimization: Adaptive algorithms and tighter generalization bounds Y Zhou, X Chen, M Hong, ZS Wu, A Banerjee arXiv preprint arXiv:2006.13501, 2020 | 30 | 2020 |
| Towards better generalization of adaptive gradient methods Y Zhou, B Karimi, J Yu, Z Xu, P Li Advances in Neural Information Processing Systems 33, 810-821, 2020 | 23 | 2020 |
| Stability based generalization bounds for exponential family langevin dynamics A Banerjee, T Chen, X Li, Y Zhou International Conference on Machine Learning, 1412-1449, 2022 | 12 | 2022 |
| De-randomized pac-bayes margin bounds: Applications to non-convex and non-smooth predictors A Banerjee, T Chen, Y Zhou arXiv preprint arXiv:2002.09956, 2020 | 11 | 2020 |
| Stable Gradient Descent. Y Zhou, S Chen, A Banerjee UAI, 766-775, 2018 | 5 | 2018 |
| Improving contextual query rewrite for conversational ai agents through user-preference feedback learning Z Sun, Y Zhou, J Hao, X Fan, Y Lu, C Ma, W Shen, C Guo Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| Unified contextual query rewriting Y Zhou, J Hao, M Rungta, Y Liu, E Cho, X Fan, Y Lu, V Vasudevan, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 4 | 2023 |
| Noisy truncated sgd: Optimization and generalization Y Zhou, X Li, A Banerjee Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 3 | 2022 |
| Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A Banerjee, Q Li, Y Zhou arXiv preprint arXiv:2406.07712, 2024 | | 2024 |
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignВерификована је имејл адреса на illinois.edu