Lê Nguyên Hoang

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 18

Top Topics

Collaborative E Learning

Bayesian Formulation

Top Venues

Soc. Choice Welf.

Comput. Oper. Res.

Publications

Youssef Allouah, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud
Robust Sparse Voting. CoRR (2022)
Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks. ICML (2022)
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan
Making Byzantine Decentralized Learning Efficient. CoRR (2022)
Romain Beylerian, Bérangère Colbois, Louis Faucon, Lê Nguyên Hoang, Aidan Jungo, Alain Le Noac'h, Adrien Matissart
Tournesol: Permissionless Collaborative Algorithmic Governance with Security Guarantees. CoRR (2022)
Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang, Oscar Villemaud
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks. CoRR (2022)
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
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments. CoRR (2021)
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang
On the Strategyproofness of the Geometric Median. CoRR (2021)
Sadegh Farhadkhani, Rachid Guerraoui, Lê Nguyên Hoang
Strategyproof Learning: Building Trustworthy User-Generated Datasets. CoRR (2021)
El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault
Genuinely Distributed Byzantine Machine Learning. PODC (2020)
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault
Collaborative Learning as an Agreement Problem. CoRR (2020)
Lê Nguyên Hoang
Purely Bayesian counterfactuals versus Newcomb's paradox. CoRR (2020)
Lê Nguyên Hoang
Towards Robust End-to-End Alignment. SafeAI@AAAI (2019)
Lê Nguyên Hoang, François Soumis, Georges Zaccour
The return function: A new computable perspective on Bayesian-Nash equilibria. Eur. J. Oper. Res. 279 (2) (2019)
El Mahdi El Mhamdi, Rachid Guerraoui, Lê Nguyên Hoang, Alexandre Maurer
Removing Algorithmic Discrimination (With Minimal Individual Error). CoRR (2018)
Lê Nguyên Hoang
A Roadmap for the Value-Loading Problem. CoRR (2018)
Lê Nguyên Hoang, Rachid Guerraoui
Deep Learning Works in Practice. But Does it Work in Theory? CoRR (2018)
Lê Nguyên Hoang
Strategy-proofness of the randomized Condorcet voting system. Soc. Choice Welf. 48 (3) (2017)
Lê Nguyên Hoang, François Soumis, Georges Zaccour
A heuristic optimization of Bayesian incentive-compatible cake-cutting. Comput. Oper. Res. 75 (2016)