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Mukul Gagrani
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2020 – today
- 2024
- [i10]Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott:
Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement. CoRR abs/2402.14160 (2024) - [i9]Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott:
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs. CoRR abs/2403.00858 (2024) - [i8]Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott:
On Speculative Decoding for Multimodal Large Language Models. CoRR abs/2404.08856 (2024) - 2023
- [c12]Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott:
Neural DAG Scheduling via One-Shot Priority Sampling. ICLR 2023 - 2022
- [c11]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
A modified Thompson sampling-based learning algorithm for unknown linear systems. CDC 2022: 6658-6665 - [c10]Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi:
Neural Topological Ordering for Computation Graphs. NeurIPS 2022 - [i7]Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan:
Neural Topological Ordering for Computation Graphs. CoRR abs/2207.05899 (2022) - 2021
- [j4]Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar:
Worst-Case Guarantees for Remote Estimation of an Uncertain Source. IEEE Trans. Autom. Control. 66(4): 1794-1801 (2021) - [c9]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Thompson sampling for linear quadratic mean-field teams. CDC 2021: 720-727 - [i6]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems. CoRR abs/2108.08502 (2021) - 2020
- [j3]Yi Ouyang, Mukul Gagrani, Rahul Jain:
Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems. IEEE Trans. Autom. Control. 65(8): 3600-3607 (2020) - [j2]Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra:
Optimal Scheduling Strategy for Networked Estimation With Energy Harvesting. IEEE Trans. Control. Netw. Syst. 7(4): 1723-1735 (2020) - [c8]Mukul Gagrani, Ashutosh Nayyar:
Weakly Coupled Constrained Markov Decision Processes in Borel Spaces. ACC 2020: 2790-2795 - [c7]Seyed Mohammad Asghari, Mukul Gagrani, Ashutosh Nayyar:
Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem. ACC 2020: 3926-3931 - [i5]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Thompson sampling for linear quadratic mean-field teams. CoRR abs/2011.04686 (2020)
2010 – 2019
- 2019
- [i4]Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar:
Worst-case Guarantees for Remote Estimation of an Uncertain Source. CoRR abs/1902.03339 (2019) - [i3]Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra:
Optimal scheduling strategy for networked estimation with energy harvesting. CoRR abs/1908.06070 (2019) - 2018
- [c6]Mukul Gagrani, Marcos M. Vasconcelos, Ashutosh Nayyar:
Scheduling and Estimation Strategies in a Sequential Networked Estimation Problem. Allerton 2018: 871-878 - [c5]Mukul Gagrani, Ashutosh Nayyar:
Thompson Sampling for some decentralized control problems. CDC 2018: 1053-1058 - 2017
- [c4]Yi Ouyang, Mukul Gagrani, Rahul Jain:
Control of unknown linear systems with Thompson sampling. Allerton 2017: 1198-1205 - [c3]Mukul Gagrani, Ashutosh Nayyar:
Decentralized minimax control problems with partial history sharing. ACC 2017: 3373-3379 - [c2]Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain:
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. NIPS 2017: 1333-1342 - [i2]Yi Ouyang, Mukul Gagrani, Rahul Jain:
Learning-based Control of Unknown Linear Systems with Thompson Sampling. CoRR abs/1709.04047 (2017) - [i1]Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain:
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. CoRR abs/1709.04570 (2017) - 2014
- [j1]Mukul Gagrani, A. K. Chaturvedi:
Transmit and Receive Antenna Pairing in MIMO Relay Networks. IEEE Commun. Lett. 18(11): 2043-2046 (2014) - 2011
- [c1]Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney:
On noise-enhanced distributed inference in the presence of Byzantines. Allerton 2011: 1222-1229
Coauthor Index
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