2 citations · 2 across the 5 of their papers we have counts for
5 papers
Generative Sequential Notification Optimization via Multi-Objective Decision Transformers
Borja Ocejo, Ruofan Wang, Ke Liu +7
Notifications are an important communication channel for delivering timely and relevant information. Optimizing their delivery involves addressing complex sequential decision-makin…
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava +10
In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives. As user bases cont…
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning
Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang +2
Mobile notification systems play a major role in a variety of applications to communicate, send alerts and reminders to the users to inform them about news, events or messages. In…
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan, Ajith Muralidharan, Preetam Nandy +2
Mobile notification systems have taken a major role in driving and maintaining user engagement for online platforms. They are interesting recommender systems to machine learning pr…
Question Relevance in Visual Question Answering
Prakruthi Prabhakar, Nitish Kulkarni, Linghao Zhang
Free-form and open-ended Visual Question Answering systems solve the problem of providing an accurate natural language answer to a question pertaining to an image. Current VQA syst…