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05/25/2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Data subsampling is widely used to speed up the training of large-scale ...
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11/19/2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Learning to generate graphs is challenging as a graph is a set of pairwi...
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09/20/2022
Collaborative Anomaly Detection
In recommendation systems, items are likely to be exposed to various use...
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10/25/2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
We investigate the issue of parameter estimation with nonuniform negativ...
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06/10/2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning (vFL) allows multiple parties that own diffe...
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05/09/2019
Random Function Priors for Correlation Modeling
The likelihood model of many high dimensional data X_n can be expressed ...
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10/10/2018
Fully Supervised Speaker Diarization
In this paper, we propose a fully supervised speaker diarization approac...
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05/25/2015
