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Paul E. Chang

Paul Edmund Chang

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Conference and Workshop Papers

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2023
[c4]
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  - conf/icml/ChangVJSK23
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Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan:
Memory-Based Dual Gaussian Processes for Sequential Learning. ICML 2023: 4035-4054
2021
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  - conf/nips/AdamCKS21
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Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin:
Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS 2021: 11474-11486
2020
[c2]
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  - conf/icml/WilkinsonCAS20
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William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin:
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. ICML 2020: 10270-10281
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Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin:
Fast Variational Learning in State-Space Gaussian Process Models. MLSP 2020: 1-6

Informal and Other Publications

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2024
[i7]
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  - journals/corr/abs-2403-10929
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Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin:
Function-space Parameterization of Neural Networks for Sequential Learning. CoRR abs/2403.10929 (2024)
2023
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  - journals/corr/abs-2306-03566
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Paul E. Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan:
Memory-Based Dual Gaussian Processes for Sequential Learning. CoRR abs/2306.03566 (2023)
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  - journals/corr/abs-2309-02195
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Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin:
Sparse Function-space Representation of Neural Networks. CoRR abs/2309.02195 (2023)
2022
[i4]
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  - journals/corr/abs-2211-01053
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Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin:
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR abs/2211.01053 (2022)
2021
[i3]
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  - journals/corr/abs-2111-03412
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Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin:
Dual Parameterization of Sparse Variational Gaussian Processes. CoRR abs/2111.03412 (2021)
2020
[i2]
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  - journals/corr/abs-2007-04731
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Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin:
Fast Variational Learning in State-Space Gaussian Process Models. CoRR abs/2007.04731 (2020)
[i1]
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  - journals/corr/abs-2007-05994
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William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin:
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. CoRR abs/2007.05994 (2020)

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