You Don't Need to Learn All the Weights on tabular data: The Case for rvflnet (a nonlinear expressive glmnet) on regression, classification and survival analysis
https://thierrymoudiki.github.io/blog/2026/05/02/r/rvflnet
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@teeeeeeeee.bsky.socialYou Don't Need to Learn All the Weights on tabular data: The Case for rvflnet (a nonlinear expressive glmnet) on regression, classification and survival analysis
https://thierrymoudiki.github.io/blog/2026/05/02/r/rvflnet
@teeeeeeeee.bsky.socialPresenting 'Online Probabilistic Estimation of Carbon Beta and Carbon Shapley Values for Financial and Climate Risk' at Institut Louis Bachelier
https://thierrymoudiki.github.io/blog/2025/02/27/python/r/forecasting/carbon-beta
@teeeeeeeee.bsky.socialparallel grid search cross-validation using `crossvalidation`
https://thierrymoudiki.github.io/blog/2021/07/31/r/parallel-crossvalidation
@teeeeeeeee.bsky.socialAdaptive (online/streaming) learning with uncertainty quantification using Polyak averaging in learningmachine
https://thierrymoudiki.github.io/blog/2024/09/10/python/r/adaptive-polyak
@teeeeeeeee.bsky.socialNew versions of nnetsauce and ahead
https://thierrymoudiki.github.io/blog/2024/09/09/r/python/new-nnetsauce
@teeeeeeeee.bsky.socialA new version of nnetsauce (v0.3.1)
https://thierrymoudiki.github.io/blog/2020/01/24/python/quasirandomizednn/nnetsauce-2
@teeeeeeeee.bsky.socialForecasting in Python with ahead
https://thierrymoudiki.github.io/blog/2023/09/11/python/forecasting/ahead-python
@teeeeeeeee.bsky.socialExplaining a Keras _neural_ network predictions with the-teller
https://thierrymoudiki.github.io/blog/2022/03/11/python/explainableml/teller-keras-explainer
@teeeeeeeee.bsky.socialTests for the significance of marginal effects in the teller
https://thierrymoudiki.github.io/blog/2019/11/08/explainableml/the-teller-2
@teeeeeeeee.bsky.socialProbabilistic Time Series Forecasting (predictive simulations) in Microsoft Excel using Python, xlwings lite and www.techtonique.net
https://thierrymoudiki.github.io/blog/2025/03/28/python/xlwings-lite-techtonique
@teeeeeeeee.bsky.socialAutomated hyperparameter tuning using any conformalized surrogate
https://thierrymoudiki.github.io/blog/2024/06/09/python/quasirandomizednn/conformal-bayesopt
@teeeeeeeee.bsky.socialQuantile regression with any regressor -- Examples with RandomForestRegressor, RidgeCV, KNeighborsRegressor
https://thierrymoudiki.github.io/blog/2025/05/20/r/python/quantile-regression
@teeeeeeeee.bsky.socialA plethora of datasets at your fingertips Part3: how many times do couples cheat on each other?
https://thierrymoudiki.github.io/blog/2024/02/19/python/quasirandomizednn/explainableml/nnetsauce-dl-data
@teeeeeeeee.bsky.socialVersion v0.14.0 of nnetsauce for R and Python
https://thierrymoudiki.github.io/blog/2023/10/16/python/r/forecasting/quasirandomizednn/nnetsauce-mts-R
@teeeeeeeee.bsky.socialBack next week, and a few announcements
https://thierrymoudiki.github.io/blog/2020/09/04/misc/python/quasirandomizednn/nnetsauce
@teeeeeeeee.bsky.social10 uncertainty quantification methods in nnetsauce forecasting
https://thierrymoudiki.github.io/blog/2024/07/01/python/quasirandomizednn/forecasting/nnetsauce-mts-new
@teeeeeeeee.bsky.socialBayesian forecasting for uni/multivariate time series
https://thierrymoudiki.github.io/blog/2020/12/04/r/quasirandomizednn/bayesian-forecasting
@teeeeeeeee.bsky.socialA Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios
https://thierrymoudiki.github.io/blog/2025/05/30/r/python/techtonique/esgtoolkit-techtonique-api-rush
@teeeeeeeee.bsky.sociallearningmachine: prediction intervals for conformalized Kernel ridge regression and Random Forest
https://thierrymoudiki.github.io/blog/2024/01/01/r/learningmachine/learningmachine
@teeeeeeeee.bsky.social