Here are the main topics on which our group works.
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Adversarial machine learning
Adversarial learning corresponds to trying to build models which are robust to malicious adversaries.
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Theory of deep learning
Understanding the performance of neural networks is certainly one of the most thrilling challenges for the current machine learning community.
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Stochastic optimisation
The tremendous success of machine learning in recent years is largely due to the impressive performances of stochastic optimisation algorithms such as SGD.
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MCMC algorithms
Markov chain Monte Carlo (MCMC) algorithms are a powerful, computational tool for Bayesian inference.