Andreas Müller

According to our database, Andreas Müller authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Nexus: Inferring Join Graphs from Metadata Alone via Iterative Low-Rank Matrix Completion.

Tianji Cong, Yuanyuan Tian, Andreas Müller, Rathijit Sen, Yeye He, Fotis Psallidas, Shaleen Deep, H. V. Jagadish

CoRR, February, 2026

2025

Optimizing open-domain question answering with graph-based retrieval augmented generation.

Joyce Cahoon, Prerna Singh, Nick Litombe, Jonathan Larson, Ha Trinh, Yiwen Zhu, Andreas Müller, Fotis Psallidas, Carlo Curino

CoRR, March, 2025

OpenML: Insights from 10 years and more than a thousand papers.

Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Müller, László Németh, Luis Oala, Lennart Purucker, Sahithya Ravi, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever

Patterns, 2025

2024

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

Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Müller, Frank Hutter, Matthias Feurer, Bernd Bischl

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MotherNet: A Foundational Hypernetwork for Tabular Classification.

Andreas Müller, Carlo Curino, Raghu Ramakrishnan

CoRR, 2023

Towards Building Autonomous Data Services on Azure.

Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Schema Matching using Pre-Trained Language Models.

Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

LlamaTune: Sample-Efficient DBMS Configuration Tuning.

Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman

Proc. VLDB Endow., 2022

2021

Learning multiple defaults for machine learning algorithms.

Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas C. Müller, Bernd Bischl

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Magpie: Python at Speed and Scale using Cloud Backends.

Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Müller, Wentao Wu, Hiren Patel

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Importance of Tuning Hyperparameters of Machine Learning Algorithms.

Hilde J. P. Weerts, Andreas C. Müller, Joaquin Vanschoren

CoRR, 2020