Practical and sample efficient zero-shot HPO

Practical and sample efficient zero-shot HPO

27 July 2020

Fela Winkelmolen

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Papers citing "Practical and sample efficient zero-shot HPO"

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Title
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 102 14 0 06 Nov 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 100 17 0 06 Jun 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 127 78 0 10 May 2023
Zero-Shot AutoML with Pretrained Models Ekrem Öztürk Fabio Ferreira H. Jomaa Lars Schmidt-Thieme Josif Grabocka Frank Hutter VLM 117 10 0 16 Jun 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 82 9 0 17 Feb 2022
Meta-Learning for Symbolic Hyperparameter Defaults Pieter Gijsbers Florian Pfisterer Jan N. van Rijn B. Bischl Joaquin Vanschoren 72 9 0 10 Jun 2021
A resource-efficient method for repeated HPO and NAS problems Giovanni Zappella David Salinas Cédric Archambeau 26 5 0 30 Mar 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 50 3 0 07 Feb 2021
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 91 69 0 15 Dec 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 135 285 0 08 Jul 2020