Amélie Héliou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Venues

CoRR

ICML

Bioinform.

KDD

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Léonard Hussenot, Aakanksha Chowdhery, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, Amélie Héliou, Andrea Tacchetti, Anna Bulanova, Antonia Paterson, Beth Tsai, Bobak Shahriari, Charline Le Lan, Christopher A. Choquette-Choo, Clément Crepy, Daniel Cer, Daphne Ippolito, David Reid, Elena Buchatskaya, Eric Ni, Eric Noland, Geng Yan, George Tucker, George-Cristian Muraru, Grigory Rozhdestvenskiy, Henryk Michalewski, Ian Tenney, Ivan Grishchenko, Jacob Austin, James Keeling, Jane Labanowski, Jean-Baptiste Lespiau, Jeff Stanway, Jenny Brennan, Jeremy Chen, Johan Ferret, Justin Chiu, et al.
Gemma: Open Models Based on Gemini Research and Technology. CoRR (2024)
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
BOND: Aligning LLMs with Best-of-N Distillation. CoRR (2024)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR (2021)
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. KDD (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML (2021)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS (2020)
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
Gradient-free Online Learning in Games with Delayed Rewards. CoRR (2020)
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
Gradient-free Online Learning in Continuous Games with Delayed Rewards. ICML (2020)
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
Online non-convex optimization with imperfect feedback. CoRR (2020)
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
Individual Treatment Effect Estimation in a Low Compliance Setting. CoRR (2020)
Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem
Fast, Clash-Free RNA Conformational Morphing using Molecular Junctions. BCB (2017)
Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem
Fast, clash-free RNA conformational morphing using molecular junctions. Bioinform. 33 (14) (2017)
Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos
Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence. SAGT (2017)
Amélie Héliou, Johanne Cohen, Panayotis Mertikopoulos
Learning with Bandit Feedback in Potential Games. NIPS (2017)
Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos
Exponentially fast convergence to (strict) equilibrium via hedging. CoRR (2016)

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Publication Activity (10 Years)

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Amélie Héliou