Thibaut Liénart

According to our database, Thibaut Liénart authored at least 6 papers between 2015 and 2023.

Collaborative distances:

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

2023

Web Privacy: A Formal Adversarial Model for Query Obfuscation.

Florimond Houssiau, Thibaut Liénart, Julien M. Hendrickx, Yves-Alexandre de Montjoye

IEEE Trans. Inf. Forensics Secur., 2023

2020

MLJ: A Julia package for composable machine learning.

Anthony D. Blaom, Franz J. Király, Thibaut Liénart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer

J. Open Source Softw., 2020

Amazon SageMaker Autopilot: a white box AutoML solution at scale.

Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Liénart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel

CoRR, 2020

2017

Inference on Markov random fields: methods and applications.

Thibaut Liénart

PhD thesis, 2017

Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.

Leonard Hasenclever, Stefan Webb, Thibaut Liénart, Sebastian J. Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh

J. Mach. Learn. Res., 2017

2015

Expectation Particle Belief Propagation.

Thibaut Liénart, Yee Whye Teh, Arnaud Doucet

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015