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ORCIDYuxin Chang
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2020 – today
- 2024
[c5]Yuxin Chang, Alex J. Boyd, Padhraic Smyth:
Probabilistic Modeling for Sequences of Sets in Continuous-Time. AISTATS 2024: 4357-4365- [c4]Yuxin Chang, Xinming Zhang:
Neural Network Algorithm for Solving Nonlinear Equation Systems. ICSI 2024: 390-402 - [i4]Jie Chen
, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen:
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning. CoRR abs/2404.12445 (2024) - [i3]Yuxin Chang, Alex Boyd, Cao Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington:
Deep Linear Hawkes Processes. CoRR abs/2412.19634 (2024) - 2023
- [c3]Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth:
Probabilistic Querying of Continuous-Time Event Sequences. AISTATS 2023: 10235-10251 - [c2]Hyungrok Do, Yuxin Chang, Yoon-Sang Cho, Padhraic Smyth, Judy Zhong:
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. MLHC 2023: 128-149 - [c1]Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth:
Inference for mark-censored temporal point processes. UAI 2023: 226-236 - [i2]Yuxin Chang, Alex Boyd, Padhraic Smyth:
Probabilistic Modeling for Sequences of Sets in Continuous-Time. CoRR abs/2312.15045 (2023) - 2022
- [i1]Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth:
Probabilistic Querying of Continuous-Time Event Sequences. CoRR abs/2211.08499 (2022)
Coauthor Index
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