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Cited By

Position: A Call to Action for a Human-Centered AutoML Paradigm

Position: A Call to Action for a Human-Centered AutoML Paradigm

5 June 2024

Marius Lindauer

Julia Moosbauer

Alexander Tornede

Andreas Mueller

Matthias Feurer

Bernd Bischl

ArXiv (abs)PDF HTML Github (73★)

Papers citing "Position: A Call to Action for a Human-Centered AutoML Paradigm"

7 / 7 papers shown

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings

278

5

0

08 Jun 2025

Hyperparameter Optimization via Interacting with Probabilistic Circuits

Hyperparameter Optimization via Interacting with Probabilistic Circuits

Fabrizio G. Ventola

Kristian Kersting

334

2

0

23 May 2025

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

496

0

0

07 May 2025

Dataset-Agnostic Recommender Systems

Dataset-Agnostic Recommender Systems

Tri Kurniawan Wijaya

Edoardo DÁmico

377

1

0

13 Jan 2025

Hyperparameter Importance Analysis for Multi-Objective AutoML

Hyperparameter Importance Analysis for Multi-Objective AutoMLEuropean Conference on Artificial Intelligence (ECAI), 2024

Daphne Theodorakopoulos

Marius Lindauer

474

9

0

03 Jan 2025

Large Language Models for Constructing and Optimizing Machine Learning
Workflows: A Survey

Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey

Haoran Fan

Shiyou Qian

475

17

0

11 Nov 2024

A Unified Approach to Interpreting Model Predictions

A Unified Approach to Interpreting Model Predictions

Scott M. Lundberg

5.2K

32,516

0

22 May 2017

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