Lê-Nguyên Hoang

20 papers A* 3A 2Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Benefits of Diversity: Combining Comparisons and Ratings for Efficient Scoring.
CoRR
Julien Fageot, Matthias Grossglauser, Lê-Nguyên Hoang, Matteo Tacchi-Bénard, Oscar Villemaud
2025 J jnl
A case for specialisation in non-human entities.
CoRR
El-Mahdi El-Mhamdi, Lê-Nguyên Hoang, Mariame Tighanimine
2025 J jnl
Generalizing while preserving monotonicity in comparison-based preference learning models.
CoRR
Julien Fageot, Peva Blanchard, Gilles Bareilles, Lê-Nguyên Hoang
2025 J jnl
On Monotonicity in AI Alignment.
CoRR
Gilles Bareilles, Julien Fageot, Lê-Nguyên Hoang, Peva Blanchard, Wassim Bouaziz, Sébastien Rouault, El-Mahdi El-Mhamdi
2024 A* conf
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons.
AAAI
Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud
2024 J jnl
On Goodhart's law, with an application to value alignment.
CoRR
El-Mahdi El-Mhamdi, Lê-Nguyên Hoang
2024 A conf
Robust Sparse Voting.
AISTATS
Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud
2024 J jnl
Should YouTube make recommendations for the climate?
Ethics Inf. Technol.
Martin Gibert, Lê-Nguyên Hoang, Maxime Lambrecht
2024 J jnl
The poison of dimensionality.
CoRR
Lê-Nguyên Hoang
2023 A conf
On the Strategyproofness of the Geometric Median.
AISTATS
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
2023 A* conf
Robust Collaborative Learning with Linear Gradient Overhead.
ICML
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
2022 J jnl
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks.
CoRR
Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud
2022 J jnl
Genuinely distributed Byzantine machine learning.
Distributed Comput.
El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault
2022 J jnl
On the Impossible Safety of Large AI Models.
CoRR
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan
2022 J jnl
Removing algorithmic discrimination (with minimal individual error).
Theor. Comput. Sci.
El-Mahdi El-Mhamdi, Rachid Guerraoui, Lê-Nguyên Hoang, Alexandre Maurer
2022 J jnl
Robust Sparse Voting.
CoRR
Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud
2021 A* conf
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning).
NeurIPS
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault
2021 J jnl
On the Strategyproofness of the Geometric Median.
CoRR
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
2021 J jnl
Strategyproof Learning: Building Trustworthy User-Generated Datasets.
CoRR
Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
2021 J jnl
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments.
CoRR
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