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Alexander Soen

Australian National University

Rejection via Learning Density Ratios

May 29, 2024
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Tempered Calculus for ML: Application to Hyperbolic Model Embedding

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Feb 08, 2024
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Tradeoffs of Diagonal Fisher Information Matrix Estimators

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Feb 08, 2024
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Sampled Transformer for Point Sets

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Feb 28, 2023
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Fair Wrapping for Black-box Predictions

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Feb 16, 2022
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Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data

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Nov 03, 2021
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On the Variance of the Fisher Information for Deep Learning

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Jul 09, 2021
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Interval-censored Hawkes processes

Apr 16, 2021
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Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers

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Dec 01, 2020
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Universal Approximation with Neural Intensity Point Processes

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Jul 28, 2020
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