Amélie Héliou

According to our database, Amélie Héliou authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Gemma: Open Models Based on Gemini Research and Technology.

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-Christian 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.

CoRR, 2024

2021

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting.

Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging.

Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Individual Treatment Effect Estimation in a Low Compliance Setting.

Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

CoRR, 2020

Gradient-free Online Learning in Games with Delayed Rewards.

Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou

CoRR, 2020

Online Non-Convex Optimization with Imperfect Feedback.

Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gradient-free Online Learning in Continuous Games with Delayed Rewards.

Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou

Proceedings of the 37th International Conference on Machine Learning, 2020

2017

Molecular conformations and game theory. (Conformations moléculaires et théorie des jeux).

Amélie Héliou

PhD thesis, 2017

Fast, clash-free RNA conformational morphing using molecular junctions.

Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem

Bioinform., 2017

Hedging Under Uncertainty: Regret Minimization Meets Exponentially Fast Convergence.

Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos

Proceedings of the Algorithmic Game Theory - 10th International Symposium, 2017

Learning with Bandit Feedback in Potential Games.

Amélie Héliou, Johanne Cohen, Panayotis Mertikopoulos

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Exponentially fast convergence to (strict) equilibrium via hedging.

Johanne Cohen, Amélie Héliou, Panayotis Mertikopoulos

CoRR, 2016