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cs.LG2021
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data
Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu
The multivariate Hawkes process (MHP) is widely used for analyzing data streams that interact with each other, where events generate new events within their own dimension (via self…
cs.LG2021
On the Variance of the Fisher Information for Deep Learning
Alexander Soen, Ke Sun
In the realm of deep learning, the Fisher information matrix (FIM) gives novel insights and useful tools to characterize the loss landscape, perform second-order optimization, and…
cs.LG2021★ 5 cited
Interval-censored Hawkes processes
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li +4
Interval-censored data solely records the aggregated counts of events during specific time intervals - such as the number of patients admitted to the hospital or the volume of vehi…