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2020 – today
- 2024
[i13]Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab:
Offline Reinforcement Learning With Combinatorial Action Spaces. CoRR abs/2410.21151 (2024)- [i12]Hyewon Jeong, Siddharth Nayak, Taylor W. Killian, Sanjat Kanjilal:
Identifying Differential Patient Care Through Inverse Intent Inference. CoRR abs/2411.07372 (2024) - 2023
- [j1]Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi:
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [i11]Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi:
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. CoRR abs/2301.05664 (2023) - [i10]Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini:
Continuous Time Evidential Distributions for Irregular Time Series. CoRR abs/2307.13503 (2023) - 2022
- [c9]Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi:
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL 2022: 5-31 - [c8]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:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - 2021
- [c7]Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi:
Medical Dead-ends and Learning to Identify High-Risk States and Treatments. NeurIPS 2021: 4856-4870 - [i9]Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi:
Medical Dead-ends and Learning to Identify High-risk States and Treatments. CoRR abs/2110.04186 (2021) - 2020
- [c6]Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino
, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi:
Multiple Sclerosis Severity Classification From Clinical Text. ClinicalNLP@EMNLP 2020: 7-23 - [c5]Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son:
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS 2020: 1855-1865 - [c4]Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi:
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. ML4H@NeurIPS 2020: 139-160 - [i8]Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi:
Counterfactually Guided Policy Transfer in Clinical Settings. CoRR abs/2006.11654 (2020) - [i7]Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi:
Multiple Sclerosis Severity Classification From Clinical Text. CoRR abs/2010.15316 (2020) - [i6]Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi:
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. CoRR abs/2011.11235 (2020)
2010 – 2019
- 2019
- [i5]Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay:
Interpretable Reinforcement Learning via Differentiable Decision Trees. CoRR abs/1903.09338 (2019) - [i4]Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son:
Kernelized Capsule Networks. CoRR abs/1906.03164 (2019) - 2018
- [i3]Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son:
Learning Robust Representations for Automatic Target Recognition. CoRR abs/1811.10714 (2018) - 2017
- [c3]Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI 2017: 4949-4950 - [c2]Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS 2017: 6250-6261 - [i2]Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR abs/1706.06544 (2017) - 2016
- [i1]Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez:
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR abs/1612.00475 (2016) - 2013
- [c1]Muslim Mustapa, Mohammed Y. Niamat, Mansoor Alam, Taylor W. Killian:
Frequency uniqueness in ring oscillator Physical Unclonable Functions on FPGAs. MWSCAS 2013: 465-468
Coauthor Index
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