works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.LG2026

Building a User Foundation Model for the Open Web

Solal Vernier, Ivan Can Arisoy, Merwan Barlier +1

The paper introduces a self‑supervised transformer model trained on fragmented web browsing histories to create user representations that improve click prediction and bidding perfo…

cs.AI2026

PromptPack: Scaling LLM Annotation Agents for Online Recommendation

Sebastian Koralewski, Merwan Barlier, Yulia Stolin +1

Online recommendation platforms increasingly use Large Language Models (LLMs) to extract structured features from ad creatives. While deploying a single-call LLM annotation agent y…

cs.LG2025

Adaptive Sample Sharing for Multi Agent Linear Bandits

Hamza Cherkaoui, Merwan Barlier, Igor Colin

The multi-agent linear bandit setting is a well-known setting for which designing efficient collaboration between agents remains challenging. This paper studies the impact of data…

cs.LG2025

Differentially Private Policy Gradient

Alexandre Rio, Merwan Barlier, Igor Colin

Motivated by the increasing deployment of reinforcement learning in the real world, involving a large consumption of personal data, we introduce a differentially private (DP) polic…

cs.LG2024

Differentially Private Deep Model-Based Reinforcement Learning

Alexandre Rio, Merwan Barlier, Igor Colin +1

We address private deep offline reinforcement learning (RL), where the goal is to train a policy on standard control tasks that is differentially private (DP) with respect to indiv…