Algorithms & Theory Research Groups

Deep Learning Lab

Kenji KAWAGUCHI

Our lab aims to establish the positive feedback loop between theory and practice, to accelerate the development of the practical deep learning methods and to contribute to the understanding of intelligence.

• Optimisation

Information Theory and Statistical Learning Group

Jonathan SCARLETT

Our group performs research at the intersection of information theory, machine learning, and high-dimensional statistics, with ongoing areas of interest including information-theoretic limits of learning, adaptive decision-making under uncertainty, scalable algorithms for large-scale inference and learning, and robustness considerations in machine learning.

• Information Theory & Coding, Learning Theory, Optimisation

STeAdS Virtual Group

Ganesh NEELAKANTA IYER

Software Engineering and Technological Advancements for Society. A virtual group that uses Software engineering practices and Technological advancements (Cloud computing, Artificial Intelligence (EdgeAI, ML)) for the benefit of various aspects of society (healthcare, education, art & culture). Looking for students to collaborate on different projects. Look at ganeshniyer.github.io for details.

• Algorithmic Game Theory

Data Privacy and Trustworthy Machine Learning Lab

Reza SHOKRI