Hoang, Lê-Nguyên

7 publications

NeurIPS 2025 Generalizing While Preserving Monotonicity in Comparison-Based Preference Learning Models Julien Fageot, Peva Blanchard, Gilles Bareilles, Lê-Nguyên Hoang

AAAI 2024 Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud

AISTATS 2024 Robust Sparse Voting Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud

AISTATS 2023 On the Strategyproofness of the Geometric Median El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang

ICML 2023 Robust Collaborative Learning with Linear Gradient Overhead Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

ICML 2022 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud

NeurIPS 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