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Stochastic Zeroth-Order Optimisation Algorithms with Variance Reduction

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Stochastic Zeroth-Order Optimisation Algorithms with Variance Reduction

Graph Chatbot

Chattez avec Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Robust NAS under adversarial training: benchmark, theory, and beyond

Scalable constrained optimization

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A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Robust NAS under adversarial training: benchmark, theory, and beyond

Scalable constrained optimization

On the Generalization of Stochastic Gradient Descent with Momentum

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

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Revisiting Character-level Adversarial Attacks for Language Models

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

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

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set