2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Residual Correlation as a Diagnostic for Joint-Uncertainty Gains from GP Coregionalisation
Fangqin Zhou, Joaquin Vanschoren
In multi-target regression, correlated targets are often coupled through multi-output Gaussian processes with an intrinsic model of coregionalisation (GP-ICM), assuming that sharin…
Amortizing Scaling Law Construction Costs
Abhash Kumar Jha, Diana Alexandra Onuţu, Neeratyoy Mallik +6
Scaling laws guide the design choices for training large foundation models, but deriving them involves training an exhaustive grid over hyperparameters, token budgets, and paramete…
Robustness of AutoML on Dirty Categorical Data
Marcos L. P. Bueno, Joaquin Vanschoren
The goal of automated machine learning (AutoML) is to reduce trial and error when doing machine learning (ML). Although AutoML methods for classification are able to deal with data…
AutoML Benchmark with shorter time constraints and early stopping
Israel Campero Jurado, Pieter Gijsbers, Joaquin Vanschoren
Automated Machine Learning (AutoML) automatically builds machine learning (ML) models on data. The de facto standard for evaluating new AutoML frameworks for tabular data is the Au…