Kianté Brantley – Publications

You can view my CV Here.

Bio:

Kianté Brantley is an Assistant Professor in the Kempner Institute and School of Engineering and Applied Sciences (SEAS) at Havard University. He completed his Ph.D. in Computer Science at the University of Maryland College Park, advised by Dr. Hal Daumé III. After graduating, he completed his postdoctoral studies at Cornel University, working with Thorsten Joachims. His research focuses on developing machine learning models that can interact and make automated decisions in the real world with minimal supervision. He has received several awards with his colleagues, including spotlight talks at ICLR 2023 and ICLR 2019. He is a recipient of the NSF LSAMP BD Fellowship, ACM SIGHPC Computational and Data Science Fellowship, Microsoft Dissertation Research Grant, Ann G. Wylie Dissertation Fellowship, and NSF CIFellow Postdoctoral Fellowship.In his spare time, he enjoys playing sports; his favorite sport at the moment is powerlifting.

Representative Publications:

Coactive Learning for Large Language Models using Implicit User Feedback

Tucker, Aaron David and Brantley, Kianté and Cahall, Adam and Joachims, Thorsten

Proceedings of the International Conference on Machine Learning (ICML), 2024

[Arxiv]

REBEL: Reinforcement Learning via Regressing Relative Rewards

Gao, Zhaolin and Chang, Jonathan D and Zhan, Wenhao and Oertell, Owen and Swamy, Gokul and Brantley, Kianté and Joachims, Thorsten and Bagnell, J Andrew and Lee, Jason D and Sun, Wen

Preprint, 2024

[Arxiv]

Learning to Generate Better Than Your LLM

Chang, Jonathan and Brantley, Kianté and Ramamurthy, Rajkumar, and Misra, Dipendra, and Sun, Wen

NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023

[Arxiv]

Disagreement-regularized imitation learning

Brantley, Kianté and Sun, Wen and Henaff, Mikael

The International Conference on Learning Representations (ICLR), 2019

-- Spotlight --

[Arxiv]