Summary of Are Linear Regression Models White Box and Interpretable?, by Ahmed M Salih and Yuhe Wang
Are Linear Regression Models White Box and Interpretable?by Ahmed M Salih, Yuhe WangFirst submitted to…
Are Linear Regression Models White Box and Interpretable?by Ahmed M Salih, Yuhe WangFirst submitted to…
Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networksby Amanda Olmin, Fredrik LindstenFirst submitted…
LFFR: Logistic Function For (single-output) Regressionby John ChiangFirst submitted to arxiv on: 13 Jul 2024CategoriesMain:…
Understanding the Gains from Repeated Self-Distillationby Divyansh Pareek, Simon S. Du, Sewoong OhFirst submitted to…
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial…
Stacking for Probabilistic Short-term Load Forecastingby Grzegorz DudekFirst submitted to arxiv on: 15 Jun 2024CategoriesMain:…
Explainable AI for Comparative Analysis of Intrusion Detection Modelsby Pap M. Corea, Yongxin Liu, Jian…
Ridge interpolators in correlated factor regression models – exact risk analysisby Mihailo StojnicFirst submitted to…
Precise analysis of ridge interpolators under heavy correlations – a Random Duality Theory viewby Mihailo…
DecoR: Deconfounding Time Series with Robust Regressionby Felix Schur, Jonas PetersFirst submitted to arxiv on:…