71 citations · 174 across the 21 of their papers we have counts for
6 papers · 1 filter
Lever: Inference-Time Policy Reuse under Support Constraints
Ihor Vitenko, Noha Ibrahim, Sihem Amer-Yahia
Reinforcement learning (RL) policies are typically trained for fixed objectives, making reuse difficult when task requirements change. We study inference-time policy reuse: given a…
Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz Composition
Ricardo Pedro Querido Andrade Silva, Nassim Bouarour, Dina Fettache +3
Quiz design is a tedious process that teachers undertake to evaluate the acquisition of knowledge by students. Our goal in this paper is to automate quiz composition from a set of…
Producer-Fairness in Sequential Bundle Recommendation
Alexandre Rio, Marta Soare, Sihem Amer-Yahia
We address fairness in the context of sequential bundle recommendation, where users are served in turn with sets of relevant and compatible items. Motivated by real-world scenarios…
Guided Exploration of Data Summaries
Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz
Data summarization is the process of producing interpretable and representative subsets of an input dataset. It is usually performed following a one-shot process with the purpose o…
INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]
Sihem Amer-Yahia, Georgia Koutrika, Frederic Bastian +25
A full-fledged data exploration system must combine different access modalities with a powerful concept of guiding the user in the exploration process, by being reactive and antici…
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
Jose F Rodrigues-Jr, Gabriel Spadon, Bruno Brandoli +1
Automated medical prognosis has gained interest as artificial intelligence evolves and the potential for computer-aided medicine becomes evident. Nevertheless, it is challenging to…