Mukul Gagrani

According to our database, Mukul Gagrani authored at least 21 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On Speculative Decoding for Multimodal Large Language Models.

Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott

CoRR, 2024

Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs.

Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott

CoRR, 2024

Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement.

Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott

CoRR, 2024

2023

Neural DAG Scheduling via One-Shot Priority Sampling.

Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Neural Topological Ordering for Computation Graphs.

Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A modified Thompson sampling-based learning algorithm for unknown linear systems.

Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Worst-Case Guarantees for Remote Estimation of an Uncertain Source.

Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar

IEEE Trans. Autom. Control., 2021

A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems.

Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang

CoRR, 2021

Thompson sampling for linear quadratic mean-field teams.

Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Optimal Scheduling Strategy for Networked Estimation With Energy Harvesting.

Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra

IEEE Trans. Control. Netw. Syst., 2020

Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems.

Yi Ouyang, Mukul Gagrani, Rahul Jain

IEEE Trans. Autom. Control., 2020

Weakly Coupled Constrained Markov Decision Processes in Borel Spaces.

Mukul Gagrani, Ashutosh Nayyar

Proceedings of the 2020 American Control Conference, 2020

Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem.

Seyed Mohammad Asghari, Mukul Gagrani, Ashutosh Nayyar

Proceedings of the 2020 American Control Conference, 2020

2018

Thompson Sampling for some decentralized control problems.

Mukul Gagrani, Ashutosh Nayyar

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Scheduling and Estimation Strategies in a Sequential Networked Estimation Problem.

Mukul Gagrani, Marcos M. Vasconcelos, Ashutosh Nayyar

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Learning-based Control of Unknown Linear Systems with Thompson Sampling.

Yi Ouyang, Mukul Gagrani, Rahul Jain

CoRR, 2017

Learning Unknown Markov Decision Processes: A Thompson Sampling Approach.

Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decentralized minimax control problems with partial history sharing.

Mukul Gagrani, Ashutosh Nayyar

Proceedings of the 2017 American Control Conference, 2017

Control of unknown linear systems with Thompson sampling.

Yi Ouyang, Mukul Gagrani, Rahul Jain

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2014

Transmit and Receive Antenna Pairing in MIMO Relay Networks.

Mukul Gagrani, A. K. Chaturvedi

IEEE Commun. Lett., 2014

2011

On noise-enhanced distributed inference in the presence of Byzantines.

Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney

Proceedings of the 49th Annual Allerton Conference on Communication, 2011