Thibaut Lienart

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 7

Top Topics

Machine Learning

Bayesian Learning

Expectation Propagation

Top Venues

J. Mach. Learn. Res.

J. Open Source Softw.

Publications

Anthony D. Blaom, Franz J. Király, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
MLJ: A Julia package for composable Machine Learning. CoRR (2020)
Anthony D. Blaom, Franz J. Király, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
MLJ: A Julia package for composable machine learning. J. Open Source Softw. 5 (55) (2020)
Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Lienart, 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
Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR (2020)
Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian J. Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server. J. Mach. Learn. Res. 18 (2017)
Yee Whye Teh, Leonard Hasenclever, Thibaut Lienart, Sebastian J. Vollmer, Stefan Webb, Balaji Lakshminarayanan, Charles Blundell
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server. CoRR (2015)
Thibaut Lienart, Yee Whye Teh, Arnaud Doucet
Expectation Particle Belief Propagation. NIPS (2015)
Thibaut Lienart, Yee Whye Teh, Arnaud Doucet
Expectation Particle Belief Propagation. CoRR (2015)