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07/26/2023
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Conversational recommendation systems (CRS) aim to interactively acquire...
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02/23/2022
Multi-view Intent Disentangle Graph Networks for Bundle Recommendation
Bundle recommendation aims to recommend the user a bundle of items as a ...
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02/15/2022
Predicting on the Edge: Identifying Where a Larger Model Does Better
Much effort has been devoted to making large and more accurate models, b...
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02/04/2022
Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces
We propose Distribution Embedding Networks (DEN) for classification with...
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02/02/2022
Global Optimization Networks
We consider the problem of estimating a good maximizer of a black-box fu...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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09/30/2019
Network Differential Connectivity Analysis
Identifying differences in networks has become a canonical problem in ma...
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05/27/2018