Theory of Machine Learning Laboratory

The Theory Laboratory in Automatic Learning (TML) at EPFL focuses on developing algorithmic and theoretical tools to enhance the understanding and robustness of machine learning. Their research spans topics such as adversarial machine learning, deep learning theory, stochastic optimization, and MCMC algorithms. The lab's team is actively involved in investigating various aspects of machine learning, including model agnostic methods, norm regularization, and sharpness-aware minimization. With a strong emphasis on advancing the field of machine learning, TML is dedicated to exploring innovative approaches to improve the performance and reliability of machine learning models.