Taylor W. Killian

32 papers A* 3A 1Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization. CoRR Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab
2026	J	`jnl`	IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL. CoRR Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric P. Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor W. Killian, Aviral Kumar
2025	J	`jnl`	Concise Reasoning in the Lens of Lagrangian Optimization. CoRR Chengqian Gao, Haonan Li, Taylor W. Killian, Jianshu She, Renxi Wang, Liqun Ma, Zhoujun Cheng, Shibo Hao, Zhiqiang Xu
2025	J	`jnl`	K2-Think: A Parameter-Efficient Reasoning System. CoRR Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing
2025	J	`jnl`	Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. CoRR Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2025	A*	`conf`	Robust Autonomy Emerges from Self-Play. ICML Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Robust Autonomy Emerges from Self-Play. CoRR Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies. CoRR Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab
2024	—	`—`	Clinically Motivated Sequential Decision Making Under Uncertainty in Offline Settings Taylor W. Killian
2024	J	`jnl`	Identifying Differential Patient Care Through Inverse Intent Inference. CoRR Hyewon Jeong, Siddharth Nayak, Taylor W. Killian, Sanjat Kanjilal
2024	J	`jnl`	Offline Reinforcement Learning With Combinatorial Action Spaces. CoRR Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab
2023	J	`jnl`	Continuous Time Evidential Distributions for Irregular Time Series. CoRR Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini
2023	J	`jnl`	Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. CoRR Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
2023	J	`jnl`	Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. Trans. Mach. Learn. Res. Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
2022	—	`conf`	Counterfactually Guided Policy Transfer in Clinical Settings. CHIL Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
2021	A*	`conf`	Medical Dead-ends and Learning to Identify High-Risk States and Treatments. NeurIPS Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi
2021	J	`jnl`	Medical Dead-ends and Learning to Identify High-risk States and Treatments. CoRR Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi
2020	—	`conf`	An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. ML4H@NeurIPS Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
2020	J	`jnl`	An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. CoRR Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
2020	J	`jnl`	Counterfactually Guided Policy Transfer in Clinical Settings. CoRR Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi
2020	—	`conf`	Multiple Sclerosis Severity Classification From Clinical Text. ClinicalNLP@EMNLP Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi
2020	J	`jnl`	Multiple Sclerosis Severity Classification From Clinical Text. CoRR Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi
2020	A	`conf`	Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son
2019	J	`jnl`	Interpretable Reinforcement Learning via Differentiable Decision Trees. CoRR Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay
2019	J	`jnl`	Kernelized Capsule Networks. CoRR Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son
2018	J	`jnl`	Learning Robust Representations for Automatic Target Recognition. CoRR Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son
2017	A*	`conf`	Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
2017	—	`conf`	Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris
2017	J	`jnl`	Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez
2016	J	`jnl`	Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
2013	—	`conf`	Frequency uniqueness in ring oscillator Physical Unclonable Functions on FPGAs. MWSCAS Muslim Mustapa, Mohammed Y. Niamat, Mansoor Alam, Taylor W. Killian