Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

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Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

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Topics in statistical physics of high-dimensional machine learning

On the Generalization of Stochastic Gradient Descent with Momentum

Understanding generalization and robustness in modern deep learning

Predicting the long-term collective behaviour of fish pairs with deep learning

Meta-learning to address diverse Earth observation problems across resolutions

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Robust machine learning for neuroscientific inference

Partial discharge localization in power transformer tanks using machine learning methods

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Incorporating Projective Geometry into Deep Learning

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Boosting likelihood learning with event reweighting

Scalable constrained optimization

Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells

Mapping drivers of tropical forest loss with satellite image time series and machine learning

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Aiming beyond slight increases in accuracy

Multi-agent Learning with Privacy Guarantees