research
∙
09/04/2023
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
Recommender systems are typically biased toward a small group of users, ...
share
research
∙
07/07/2023
Federated Unlearning via Active Forgetting
The increasing concerns regarding the privacy of machine learning models...
research
∙
04/20/2023
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning
Recent regulations on the Right to be Forgotten have greatly influenced ...
research
∙
11/23/2022
VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
Many recent studies leverage the pre-trained CLIP for text-video cross-m...
research
∙
03/22/2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation
Privacy laws and regulations enforce data-driven systems, e.g., recommen...
research
∙
11/13/2019
Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
As the cornerstone of modern portfolio theory, Markowitz's mean-variance...
research
∙
11/13/2019
