Thomas Pethick

Research Interests:

Bayesian Optimization
Machine Learning

Biography

I received my Master with Honours in Computer Science and Engineering from the Technical Danish University in the summer 2019. My master project titled “Gaussian Processes for Economic Models” was jointly supervised by Prof. Ole Winther and Prof. Volkan Cehver. I started my PhD at LIONS in 2019.

Publications with LIONS

Stable Nonconvex-Nonconcave Training via Linear Interpolation

T. M. Pethick; W. Xie; V. Cevher

2023-09-21. Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, December 10-16, 2023.

Detailed record

Federated Learning under Covariate Shifts with Generalization Guarantees

A. Ramezani-Kebrya; F. Liu; T. M. Pethick; G. Chrysos; V. Cevher

Transactions on Machine Learning Research. 2023. num. 06.

Detailed record

Finding Actual Descent Directions For Adversarial Training

F. Latorre; I. Krawczuk; L. T. Dadi; T. M. Pethick; V. Cevher

2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

Detailed record

Solving stochastic weak Minty variational inequalities without increasing batch size

T. M. Pethick; O. Fercoq; P. Latafat; P. Patrinos; V. Cevher

11th International Conference on Learning Representations ICLR2023, Kigali, Rwanda, May 1-5, 2023.

Detailed record

Revisiting adversarial training for the worst-performing class

T. M. Pethick; G. Chrysos; V. Cevher

Transactions on Machine Learning Research. 2023.

Detailed record

Contact

email: [email protected]

EPFL people page