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Kianté Brantley
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2020 – today
- 2024
- [j1]Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun:
RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference. RLJ 4: 1656-1673 (2024) - [c15]Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun:
Adversarial Imitation Learning via Boosting. ICLR 2024 - [c14]My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon:
When is Transfer Learning Possible? ICML 2024 - [c13]Aaron David Tucker, Kianté Brantley, Adam Cahall, Thorsten Joachims:
Coactive Learning for Large Language Models using Implicit User Feedback. ICML 2024 - [c12]Kianté Brantley
, Zhichong Fang
Ranking with Long-Term Constraints. WSDM 2024: 47-56 - [i21]Zhaolin Gao, Kianté Brantley, Thorsten Joachims:
Reviewer2: Optimizing Review Generation Through Prompt Generation. CoRR abs/2402.10886 (2024) - [i20]Anne Wu, Kianté Brantley, Yoav Artzi:
A Surprising Failure? Multimodal LLMs and the NLVR Challenge. CoRR abs/2402.17793 (2024) - [i19]Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun:
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation. CoRR abs/2404.03673 (2024) - [i18]Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun:
Dataset Reset Policy Optimization for RLHF. CoRR abs/2404.08495 (2024) - [i17]Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun:
Adversarial Imitation Learning via Boosting. CoRR abs/2404.08513 (2024) - [i16]Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun:
REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR abs/2404.16767 (2024) - [i15]Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun:
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. CoRR abs/2410.04612 (2024) - [i14]Giovanni Monea, Antoine Bosselut, Kianté Brantley, Yoav Artzi:
LLMs Are In-Context Reinforcement Learners. CoRR abs/2410.05362 (2024) - 2023
- [c11]Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi:
lilGym: Natural Language Visual Reasoning with Reinforcement Learning. ACL (1) 2023: 9214-9234 - [c10]Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. EMNLP 2023: 4450-4468 - [c9]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR 2023 - [i13]Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. CoRR abs/2303.00908 (2023) - [i12]Jonathan D. Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun:
Learning to Generate Better Than Your LLM. CoRR abs/2306.11816 (2023) - [i11]Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims:
Ranking with Long-Term Constraints. CoRR abs/2307.04923 (2023) - [i10]Ge Gao, Jonathan D. Chang, Claire Cardie, Kianté Brantley, Thorsten Joachims:
Policy-Gradient Training of Language Models for Ranking. CoRR abs/2310.04407 (2023) - 2022
- [i9]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR abs/2210.01241 (2022) - [i8]Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi:
lilGym: Natural Language Visual Reasoning with Reinforcement Learning. CoRR abs/2211.01994 (2022) - 2021
- [b1]Kianté Brantley:
Expert-in-the-Loop for Sequential Decisions and Predictions. University of Maryland, College Park, MD, USA, 2021 - [c8]Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon:
Successor Feature Sets: Generalizing Successor Representations Across Policies. AAAI 2021: 11774-11781 - [i7]Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon:
Successor Feature Sets: Generalizing Successor Representations Across Policies. CoRR abs/2103.02650 (2021) - 2020
- [c7]Kianté Brantley, Hal Daumé III, Amr Sharaf:
Active Imitation Learning with Noisy Guidance. ACL 2020: 2093-2105 - [c6]Kianté Brantley, Wen Sun, Mikael Henaff:
Disagreement-Regularized Imitation Learning. ICLR 2020 - [c5]Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun:
Constrained episodic reinforcement learning in concave-convex and knapsack settings. NeurIPS 2020 - [i6]Kianté Brantley, Amr Sharaf, Hal Daumé III:
Active Imitation Learning with Noisy Guidance. CoRR abs/2005.12801 (2020) - [i5]Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun:
Constrained episodic reinforcement learning in concave-convex and knapsack settings. CoRR abs/2006.05051 (2020)
2010 – 2019
- 2019
- [c4]Kianté Brantley, Kyunghyun Cho, Hal Daumé III, Sean Welleck:
Non-Monotonic Sequential Text Generation. WNLP@ACL 2019: 57-59 - [c3]Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho:
Non-Monotonic Sequential Text Generation. ICML 2019: 6716-6726 - [c2]Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire:
Reinforcement Learning with Convex Constraints. NeurIPS 2019: 14070-14079 - [i4]Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho:
Non-Monotonic Sequential Text Generation. CoRR abs/1902.02192 (2019) - [i3]Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire:
Reinforcement Learning with Convex Constraints. CoRR abs/1906.09323 (2019) - 2017
- [c1]Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III:
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. WMT 2017: 667-673 - [i2]Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III:
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. CoRR abs/1708.01318 (2017) - 2015
- [i1]Ashwinkumar Ganesan, Kianté Brantley, Shimei Pan, Jian Chen:
LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation. CoRR abs/1507.06593 (2015)
Coauthor Index
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last updated on 2024-11-22 19:42 CET by the dblp team
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