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2020 – today
- 2024
[i7]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 abs/2403.08295 (2024)- [i6]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 abs/2407.14622 (2024) - 2021
- [c7]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML 2021: 4192-4202 - [c6]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. KDD 2021: 1399-1409 - [i5]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR abs/2109.05829 (2021) - 2020
- [c5]Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou:
Gradient-free Online Learning in Continuous Games with Delayed Rewards. ICML 2020: 4172-4181 - [c4]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS 2020 - [i4]Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou:
Gradient-free Online Learning in Games with Delayed Rewards. CoRR abs/2006.10911 (2020) - [i3]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Effect Estimation in a Low Compliance Setting. CoRR abs/2008.03235 (2020) - [i2]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online non-convex optimization with imperfect feedback. CoRR abs/2010.08496 (2020)
2010 – 2019
- 2017
- [b1]Amélie Héliou:
Molecular conformations and game theory. (Conformations moléculaires et théorie des jeux). University of Paris-Saclay, France, 2017 - [j1]Amélie Héliou, Dominik Budday
, Rasmus Fonseca, Henry van den Bedem:
Fast, clash-free RNA conformational morphing using molecular junctions. Bioinform. 33(14): 2114-2122 (2017) - [c3]Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem:
Fast, Clash-Free RNA Conformational Morphing using Molecular Junctions. BCB 2017: 639 - [c2]Amélie Héliou, Johanne Cohen, Panayotis Mertikopoulos:
Learning with Bandit Feedback in Potential Games. NIPS 2017: 6369-6378 - [c1]Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos:
Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence. SAGT 2017: 252-263 - 2016
- [i1]Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos:
Exponentially fast convergence to (strict) equilibrium via hedging. CoRR abs/1607.08863 (2016)
Coauthor Index
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