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Kevin Han Huang

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affiliation: University College London, Gatsby Unit, London, UK

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2020 – today

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2025
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  - journals/corr/abs-2502-05318
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Kevin Han Huang, Ni Zhan, Elif Ertekin, Peter Orbanz, Ryan P. Adams:
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation. CoRR abs/2502.05318 (2025)
2024
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  - conf/nips/GlaserHG24
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Pierre Glaser, Kevin Han Huang, Arthur Gretton:
Near-Optimality of Contrastive Divergence Algorithms. NeurIPS 2024
2023
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  - conf/colt/HuangLDG23
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Kevin Han Huang, Xing Liu, Andrew B. Duncan, Axel Gandy:
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing. COLT 2023: 3827-3918
[i2]
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  - journals/corr/abs-2302-05686
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Kevin Han Huang, Xing Liu, Andrew B. Duncan, Axel Gandy:
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing. CoRR abs/2302.05686 (2023)
2022
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  - journals/corr/abs-2202-09134
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Kevin Han Huang, Peter Orbanz, Morgane Austern:
Quantifying the Effects of Data Augmentation. CoRR abs/2202.09134 (2022)

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