Amélie Héliou

17 papers A* 5B 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
BOND: Aligning LLMs with Best-of-N Distillation.
ICLR
Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem
2024 J jnl
BOND: Aligning LLMs with Best-of-N Distillation.
CoRR
Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem
2024 J jnl
Pixtral 12B.
CoRR
Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Singh Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Théophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego de Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang
2021 A* conf
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting.
KDD
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
2021 A* conf
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging.
ICML
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2021 J jnl
Zeroth-order non-convex learning via hierarchical dual averaging.
CoRR
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 A* conf
Gradient-free Online Learning in Continuous Games with Delayed Rewards.
ICML
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
2020 J jnl
Gradient-free Online Learning in Games with Delayed Rewards.
CoRR
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
2020 J jnl
Individual Treatment Effect Estimation in a Low Compliance Setting.
CoRR
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
2020 A* conf
Online Non-Convex Optimization with Imperfect Feedback.
NeurIPS
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 J jnl
Online non-convex optimization with imperfect feedback.
CoRR
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2017 — conf
Fast, Clash-Free RNA Conformational Morphing using Molecular Junctions.
BCB
Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem
2017 J jnl
Fast, clash-free RNA conformational morphing using molecular junctions.
Bioinform.
Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem
2017 B conf
Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence.
SAGT
Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos
2017 — conf
Learning with Bandit Feedback in Potential Games.
NIPS
Amélie Héliou, Johanne Cohen, Panayotis Mertikopoulos
2017 — —
Molecular conformations and game theory. (Conformations moléculaires et théorie des jeux).
Amélie Héliou
2016 J jnl
Exponentially fast convergence to (strict) equilibrium via hedging.
CoRR
Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos