Amélie Heliou

5 papers · 2017–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

👥 Mega-Team · Squad

Venues

ICML (2) NeurIPS (2) ICLR (1)

Top co-authors

Panayotis Mertikopoulos (4) Thibaud Rahier (2) Matthieu Martin (2) Leonard Hussenot (1) Nikola Momchev (1) Abram L. Friesen (1) Robert Dadashi-Tazehozi (1) Piotr Stańczyk (1) Matthew Hoffman (1) Alexandre Rame (1)

Research topics

Machine Learning (4) Mathematics & Optimization (4) Optimization (4) Artificial Intelligence (3) Core AI (3) Learning Types (3) Optimization & Theory (2) Natural Language Processing (1) Application Areas (1) Resources & Methods (1)

Keywords

online learning (3) no-regret learning (2) non-convex optimization (2) dual averaging (2) nash equilibrium (2) distribution matching (1) bandit feedback (1) regret bound (1) zeroth-order optimization (1) best-of-n sampling (1) potential game (1) kernel-based estimator (1) continuous game (1) kernel methods (1) large language model (1) delayed reward (1) hierarchical scheduling (1) multi-agent system (1) imperfect feedback (1) knowledge distillation (1)

Papers

BOND: Aligning LLMs with Best-of-N Distillation ICLR 2025 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021 Gradient-free Online Learning in Continuous Games with Delayed Rewards ICML 2020 Online Non-Convex Optimization with Imperfect Feedback NeurIPS 2020 Learning with Bandit Feedback in Potential Games NeurIPS 2017