Additive models

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Most implemented papers

Neural Additive Models: Interpretable Machine Learning with Neural Nets

lemeln/nam NeurIPS 2021

They perform similarly to existing state-of-the-art generalized additive models in accuracy, but are more flexible because they are based on neural nets instead of boosted trees.

Augmenting Interpretable Models with LLMs during Training

csinva/imodelsX 23 Sep 2022

Recent large language models (LLMs) have demonstrated remarkable prediction performance for a growing array of tasks.

Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

kirthevasank/salsa 31 Jan 2016

Between non-additive models which often have large variance and first order additive models which have large bias, there has been little work to exploit the trade-off in the middle via additive models of intermediate order.

Stability selection for component-wise gradient boosting in multiple dimensions

boost-R/gamboostLSS 30 Nov 2016

We apply this new algorithm to a study to estimate abundance of common eider in Massachusetts, USA, featuring excess zeros, overdispersion, non-linearity and spatio-temporal structures.

Do Not Trust Additive Explanations

ModelOriented/iBreakDown 27 Mar 2019

Explainable Artificial Intelligence (XAI)has received a great deal of attention recently.

Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities

davidruegamer/semi-structured_distributional_regression 13 Feb 2020

We propose a general framework to combine structured regression models and deep neural networks into a unifying network architecture.

GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions

ZebinYang/gaminet 16 Mar 2020

The lack of interpretability is an inevitable problem when using neural network models in real applications.

How Interpretable and Trustworthy are GAMs?

zzzace2000/GAMs 11 Jun 2020

Generalized additive models (GAMs) have become a leading modelclass for interpretable machine learning.

Fast Interpretable Greedy-Tree Sums (FIGS)

csinva/imodels 28 Jan 2022

The total number of splits across all the trees can be restricted by a pre-specified threshold, thereby keeping both the size and number of its trees under control.

GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints

interpretml/interpret 19 Apr 2022

The number of information systems (IS) studies dealing with explainable artificial intelligence (XAI) is currently exploding as the field demands more transparency about the internal decision logic of machine learning (ML) models.