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02/28/2023
Sampled Transformer for Point Sets
The sparse transformer can reduce the computational complexity of the se...
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01/31/2022
Fair Wrapping for Black-box Predictions
We introduce a new family of techniques to post-process ("wrap") a black...
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11/03/2021
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data
This work introduces a novel multivariate temporal point process, the Pa...
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07/09/2021
On the Variance of the Fisher Information for Deep Learning
The Fisher information matrix (FIM) has been applied to the realm of dee...
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04/16/2021
Interval-censored Hawkes processes
This work builds a novel point process and tools to use the Hawkes proce...
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12/01/2020
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers
In a recent paper, Celis et al. (2020) introduced a new approach to fair...
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07/28/2020
Universal Approximation with Neural Intensity Point Processes
We propose a class of neural network models that universally approximate...
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07/30/2019