Opening remarks

Opening remarks

Closing remarks

Closing remarks

Introduction to Machine Learning

Christopher Bishop

Deep learning for Computer Vision

Naila Murray

Optimisation methods for non convex stochastic problems

Coralia Cartis

Investigating cognition: An intersection of brain science and artificial intelligence

Andrea Banino

Recent advances in Natural Language Processing through the lenses of Machine Learning

Orhan Firat

Geometric Deep Learning:
Past, Present, And Future

Michael Bronstein

The perils of AI: Can we hack a democracy?

Gaia Rubera

Low-resource Machine Translation

Marc'Aurelio Ranzato

Variational inference, VAE's and normalizing flows

Rianne van den Berg

Slides Not Available

Generative Adversarial Networks

Tatjana Chavdarova

Data-efficient Optimization
with Bayesian Optimization

Roberto Calandra

From experts to bandits:
The roots of online learning

Nicolò Cesa-Bianchi

Introduction to Reinforcement Learning

Matteo Hessel

Generalization in Deep Reinforcement Learning

Anna Harutyunyan

Reward is Enough

David Silver

Slides Not Available

Meta-Learning through the lenses of Statistical Learning Theory

Carlo Ciliberto

Robot learning to work with humans
from interaction with humans

Ayse Kucukyilmaz

Continual Learning in
Complex Environments

Raia Hadsell

Machine Learning
for Physics

Michela Paganini

What can AI do to help address the environmental and climate crisis?

Alberto Arribas

Introduction to Causal Inference

Silvia Chiappa