research
∙
03/19/2023
Mixture of segmentation for heterogeneous functional data
In this paper we consider functional data with heterogeneity in time and...
share
research
∙
05/11/2022
A Survey on Fairness for Machine Learning on Graphs
Nowadays, the analysis of complex phenomena modeled by graphs plays a cr...
research
∙
02/26/2022
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
This paper is an extended version of [Burashnikova et al., 2021, arXiv: ...
research
∙
12/12/2020
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
In this paper, we propose a theoretically founded sequential strategy fo...
research
∙
10/30/2020
All of the Fairness for Edge Prediction with Optimal Transport
Machine learning and data mining algorithms have been increasingly used ...
research
∙
10/21/2020
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
The theoretical analysis of deep neural networks (DNN) is arguably among...
research
∙
09/01/2020
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy
In this paper, we introduce and formalize a rank-one partitioning learni...
research
∙
05/11/2018
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Many information retrieval algorithms rely on the notion of a good dista...
research
∙
05/17/2017
Co-clustering through Optimal Transport
In this paper, we present a novel method for co-clustering, an unsupervi...
research
∙
04/29/2017