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Large-scale regression with sparse data
Optimal machine learning with stochastic projections (...) - Rosasco - Workshop 3 - CEB T1 2019
Lorenzo Rosasco - Efficient learning with Nyström projections
The Future of Random Projections
Machine Learning NeEDS Mathematical Optimization with Dr Coralia Cartis
Regularization - Derivation of Ridge and Lasso Regularization using Bayesian Principles
Example: Regularization
Plenary talk: Challenges and improvements in optimization algorithms for machine learning| C. Cartis
(2/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation
Luigi Carratino - Algorithmic Regularization for Large-scale Machine Learning
Coupled Pendulum Random Projection
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Last Updated: August 18, 2026
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