Lê-Nguyên Hoang

According to our database, Lê-Nguyên Hoang authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons.

Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust Collaborative Learning with Linear Gradient Overhead.

Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

Proceedings of the International Conference on Machine Learning, 2023

On the Strategyproofness of the Geometric Median.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Removing algorithmic discrimination (with minimal individual error).

El-Mahdi El-Mhamdi, Rachid Guerraoui, Lê-Nguyên Hoang, Alexandre Maurer

Theor. Comput. Sci., 2022

Genuinely distributed Byzantine machine learning.

El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

Distributed Comput., 2022

Tournesol: Permissionless Collaborative Algorithmic Governance with Security Guarantees.

Romain Beylerian, Bérangère Colbois, Louis Faucon, Lê Nguyên Hoang, Aidan Jungo, Alain Le Noac'h, Adrien Matissart

CoRR, 2022

On the Impossible Safety of Large AI Models.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

CoRR, 2022

Making Byzantine Decentralized Learning Efficient.

Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan

CoRR, 2022

Robust Sparse Voting.

Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud

CoRR, 2022

An Equivalence Between Data Poisoning and Byzantine Gradient Attacks.

Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud

Proceedings of the International Conference on Machine Learning, 2022

2021

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments.

Lê-Nguyên Hoang, Louis Faucon, Aidan Jungo, Sergei Volodin, Dalia Papuc, Orfeas Liossatos, Ben Crulis, Mariame Tighanimine, Isabela Constantin, Anastasiia Kucherenko, Alexandre Maurer, Felix Grimberg, Vlad Nitu, Chris Vossen, Sébastien Rouault, El-Mahdi El-Mhamdi

CoRR, 2021

Strategyproof Learning: Building Trustworthy User-Generated Datasets.

Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang

CoRR, 2021

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning).

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Purely Bayesian counterfactuals versus Newcomb's paradox.

Lê Nguyên Hoang

CoRR, 2020

Collaborative Learning as an Agreement Problem.

El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault

CoRR, 2020

2019

The return function: A new computable perspective on Bayesian-Nash equilibria.

Lê Nguyên Hoang, François Soumis, Georges Zaccour

Eur. J. Oper. Res., 2019

Towards Robust End-to-End Alignment.

Lê Nguyên Hoang

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

A Roadmap for the Value-Loading Problem.

Lê Nguyên Hoang

CoRR, 2018

Deep Learning Works in Practice. But Does it Work in Theory?

Lê Nguyên Hoang, Rachid Guerraoui

CoRR, 2018

2017

Strategy-proofness of the randomized Condorcet voting system.

Lê Nguyên Hoang

Soc. Choice Welf., 2017

2016

A heuristic optimization of Bayesian incentive-compatible cake-cutting.

Lê Nguyên Hoang, François Soumis, Georges Zaccour

Comput. Oper. Res., 2016