Taylor W. Killian

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 20

Top Topics

Optimization Methods

Reinforcement Learning

Markov Decision Processes

Top Venues

Publications

Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. CoRR (2023)
Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini
Continuous Time Evidential Distributions for Irregular Time Series. CoRR (2023)
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 Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (2022)
Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL (2022)
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi
Medical Dead-ends and Learning to Identify High-Risk States and Treatments. NeurIPS (2021)
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi
Medical Dead-ends and Learning to Identify High-risk States and Treatments. CoRR (2021)
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)
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)
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)
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 (2020)
Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi
Counterfactually Guided Policy Transfer in Clinical Settings. CoRR (2020)
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. CoRR (2020)
Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay
Interpretable Reinforcement Learning via Differentiable Decision Trees. CoRR (2019)
Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son
Kernelized Capsule Networks. CoRR (2019)
Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son
Learning Robust Representations for Automatic Target Recognition. CoRR (2018)
Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI (2017)
Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS (2017)
Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR (2017)
Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR (2016)
Muslim Mustapa, Mohammed Y. Niamat, Mansoor Alam, Taylor W. Killian
Frequency uniqueness in ring oscillator Physical Unclonable Functions on FPGAs. MWSCAS (2013)