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Chi-Ken Lu

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2020 – today

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2023
[i6]
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  - journals/corr/abs-2303-02859
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Chi-Ken Lu:
Bayesian inference with finitely wide neural networks. CoRR abs/2303.02859 (2023)
2022
[i5]
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  - journals/corr/abs-2203-07411
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Chi-Ken Lu, Patrick Shafto:
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. CoRR abs/2203.07411 (2022)
2021
[j2]
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  - journals/entropy/LuS21
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Chi-Ken Lu, Patrick Shafto:
Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. Entropy 23(11): 1387 (2021)
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Chi-Ken Lu, Patrick Shafto:
Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. Entropy 23(11): 1545 (2021)
[i4]
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  - journals/corr/abs-2110-00568
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Chi-Ken Lu, Patrick Shafto:
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning. CoRR abs/2110.00568 (2021)
2020
[c1]
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Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto:
Interpretable Deep Gaussian Processes with Moments. AISTATS 2020: 613-623
[i3]
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  - journals/corr/abs-2002-02826
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Chi-Ken Lu, Patrick Shafto:
Multi-source Deep Gaussian Process Kernel Learning. CoRR abs/2002.02826 (2020)

2010 – 2019

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2019
[i2]
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  - journals/corr/abs-1905-10963
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Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto:
Interpretable deep Gaussian processes. CoRR abs/1905.10963 (2019)
2018
[i1]
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  - journals/corr/abs-1803-03666
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Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto:
Standing Wave Decomposition Gaussian Process. CoRR abs/1803.03666 (2018)

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