| Learning unknown markov decision processes: A thompson sampling approach Y Ouyang, M Gagrani, A Nayyar, R Jain Advances in neural information processing systems 30, 2017 | 148 | 2017 |
| Learning-based control of unknown linear systems with thompson sampling Y Ouyang, M Gagrani, R Jain arXiv preprint arXiv:1709.04047, 2017 | 58 | 2017 |
| Control of unknown linear systems with thompson sampling Y Ouyang, M Gagrani, R Jain 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 55 | 2017 |
| Posterior sampling-based reinforcement learning for control of unknown linear systems Y Ouyang, M Gagrani, R Jain IEEE Transactions on Automatic Control 65 (8), 3600-3607, 2019 | 24 | 2019 |
| On noise-enhanced distributed inference in the presence of Byzantines M Gagrani, P Sharma, S Iyengar, VSS Nadendla, A Vempaty, H Chen, ... 2011 49th Annual Allerton Conference on Communication, Control, and …, 2011 | 21 | 2011 |
| Decentralized minimax control problems with partial history sharing M Gagrani, A Nayyar 2017 American Control Conference (ACC), 3373-3379, 2017 | 12 | 2017 |
| Optimal scheduling strategy for networked estimation with energy harvesting MM Vasconcelos, M Gagrani, A Nayyar, U Mitra IEEE Transactions on Control of Network Systems 7 (4), 1723-1735, 2020 | 11 | 2020 |
| Thompson sampling for some decentralized control problems M Gagrani, A Nayyar 2018 IEEE Conference on Decision and Control (CDC), 1053-1058, 2018 | 10 | 2018 |
| Neural topological ordering for computation graphs M Gagrani, C Rainone, Y Yang, H Teague, W Jeon, H Van Hoof arXiv preprint arXiv:2207.05899, 2022 | 9 | 2022 |
| Worst-case guarantees for remote estimation of an uncertain source M Gagrani, Y Ouyang, M Rasouli, A Nayyar IEEE Transactions on Automatic Control 66 (4), 1794-1801, 2020 | 7 | 2020 |
| Thompson sampling for linear quadratic mean-field teams M Gagrani, S Sudhakara, A Mahajan, A Nayyar, Y Ouyang 2021 60th IEEE Conference on Decision and Control (CDC), 720-727, 2021 | 6 | 2021 |
| Scheduling and estimation strategies in a sequential networked estimation problem M Gagrani, MM Vasconcelos, A Nayyar 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 5 | 2018 |
| Recursive speculative decoding: Accelerating llm inference via sampling without replacement W Jeon, M Gagrani, R Goel, J Park, M Lee, C Lott arXiv preprint arXiv:2402.14160, 2024 | 3 | 2024 |
| A modified Thompson sampling-based learning algorithm for unknown linear systems M Gagrani, S Sudhakara, A Mahajan, A Nayyar, Y Ouyang 2022 IEEE 61st Conference on Decision and Control (CDC), 6658-6665, 2022 | 3 | 2022 |
| Transmit and receive antenna pairing in MIMO relay networks M Gagrani, AK Chaturvedi IEEE Communications Letters 18 (11), 2043-2046, 2014 | 3 | 2014 |
| Neural DAG scheduling via one-shot priority sampling W Jeon, M Gagrani, B Bartan, WW Zeng, H Teague, P Zappi, C Lott The Eleventh International Conference on Learning Representations, 2022 | 2 | 2022 |
| A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems M Gagrani, S Sudhakara, A Mahajan, A Nayyar, Y Ouyang arXiv preprint arXiv:2108.08502, 2021 | 2 | 2021 |
| Weakly coupled constrained Markov decision processes in Borel spaces M Gagrani, A Nayyar 2020 American Control Conference (ACC), 2790-2795, 2020 | 2 | 2020 |
| On Speculative Decoding for Multimodal Large Language Models M Gagrani, R Goel, W Jeon, J Park, M Lee, C Lott arXiv preprint arXiv:2404.08856, 2024 | 1 | 2024 |
| Neural directed acyclic graph (dag) scheduling via one-shot priority sampling W Jeon, M Gagrani, W Zeng, E Teague, B Bartan, P Zappi, C Lott US Patent App. 18/464,996, 2024 | 1 | 2024 |
Ashutosh NayyarUniversity of Southern California在 usc.edu 的电子邮件经过验证
