Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks at the International Symposium on Forecasting.

Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks.

Automated hyperparameter tuning for Machine Learning using any conformalized surrogate.

Recognizing handwritten digits with Ridge2Classifier and log-likelihood loss.

A detailed introduction to Deep Quasi-Randomized 'neural' networks, with examples in Python and R, and a preprint.

Probability of having a credit; using learningmachine.

Various LSBoost examples and benchmarks with PCA and RandomForest dimension reduction.

LSBoost's boosting with Elastic Net, polynomials and heterogeneity in explanatory variables.

Supervised Machine Learning in mlsauce using unsupervised Machine Learning.

Conformalized predictive simulations for LSBoostRegressor, a gradient boosting algorithm for penalized nonlinear least squares.