research
∙
07/26/2023
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Conversational recommendation systems (CRS) aim to interactively acquire...
share
research
∙
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 ...
research
∙
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...
research
∙
02/04/2022
Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces
We propose Distribution Embedding Networks (DEN) for classification with...
research
∙
02/02/2022
Global Optimization Networks
We consider the problem of estimating a good maximizer of a black-box fu...
research
∙
12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
research
∙
09/30/2019
Network Differential Connectivity Analysis
Identifying differences in networks has become a canonical problem in ma...
research
∙
05/27/2018
