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Yao Xie 0002
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Publications
- 2023
- [j43]Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Causal Graph Discovery From Self and Mutually Exciting Time Series. IEEE J. Sel. Areas Inf. Theory 4: 747-761 (2023) - [c65]Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. KDD 2023: 2536-2546 - [i79]Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran:
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer. CoRR abs/2305.09126 (2023) - [i71]Jeffrey Smith, Andre L. Holder, Rishikesan Kamaleswaran, Yao Xie:
Detecting algorithmic bias in medical AI-models. CoRR abs/2312.02959 (2023) - 2022
- [c60]Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran:
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. AMIA 2022 - [c56]Jie Wang, Ronald Moore, Yao Xie, Rishikesan Kamaleswaran:
Improving Sepsis Prediction Model Generalization With Optimal Transport. ML4H@NeurIPS 2022: 474-488 - 2021
- [i50]Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran:
Inferring Granger Causality from Irregularly Sampled Time Series. CoRR abs/2106.02600 (2021)
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