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Rong J. B. Zhu

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2020 – today

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2024
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  - journals/tmlr/FrickAGGMZR24
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Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti:
MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. 2024 (2024)
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  - journals/corr/abs-2408-04860
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Jiaming Lu, Rong J. B. Zhu:
High dimensional Bayesian Optimization via Condensing-Expansion Projection. CoRR abs/2408.04860 (2024)
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  - journals/corr/abs-2408-04869
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Rong J. B. Zhu, Yanqi Qiu:
UCB Exploration for Fixed-Budget Bayesian Best Arm Identification. CoRR abs/2408.04869 (2024)
2022
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  - journals/corr/abs-2209-04624
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Rong J. B. Zhu, James M. Murray:
Gradient Descent Temporal Difference-difference Learning. CoRR abs/2209.04624 (2022)

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