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bless

Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA

dpp-vfx

Experiments for the first very fast and exact DPP sampler (Dereziński M, Calandriello D, Valko M. Exact sampling of determinantal point processes with sublinear time preprocessing. NeurIPS 2019)

falkon_paper

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

gurls

GURLS: a Least Squares Library for Supervised Learning

incremental_multiclass_rlsc

Camoriano, R.^, Pasquale, G.^, Ciliberto, C., Natale, L., Rosasco, L. and Metta, G., Incremental robot learning of new objects with fixed update time. In IEEE International Conference on Robotics and Automation (ICRA), May 2017.

iterreg

Iterative regularization solvers for non strongly convex penalties : L1, low rank, etc.

matmtl

Multi Task Learning Package for Matlab

mlcc-labs

This repository contains the implementations of the MLCC laboratories in python

mlcclabs

2017

multiplepassessgm

Lin, J., Camoriano, R. and Rosasco, L., Generalization properties and implicit regularization for multiple passes SGM. In International Conference on Machine Learning, June 2016.

nys-koop-lqr

Nystroem-based Koopman operator regression for linear quadratic control.

nystromcore

Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing Systems, December 2015.

nytro

Camoriano, R.^, Angles, T.^, Rudi, A. and Rosasco, L., Nytro: When subsampling meets early stopping. In Artificial Intelligence and Statistics, May 2016.

regml

rff-hgp

Random feature approximation of heteroscedastic Gaussian processes (CoRL 2023).