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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 188: International Conference on Automated Machine Learning, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA

[edit]

Editors: Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett

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Non-Uniform Adversarially Robust Pruning

; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:1/1-16

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LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso

Kenan Šehić, Alexandre Gramfort, Joseph Salmon, Luigi Nardi; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:2/1-24

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YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization

Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:3/1-39

[abs][Download PDF][OpenReview][Software]

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks

Duc N.M Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:4/1-16

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Automated Super-Network Generation for Scalable Neural Architecture Search

Juan Pablo Munoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:5/1-15

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Opening the Black Box: Automated Software Analysis for Algorithm Selection

Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger Hoos; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:6/1-18

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Automatic Termination for Hyperparameter Optimization

Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:7/1-21

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Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization

Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:8/1-17

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Tackling Neural Architecture Search With Quality Diversity Optimization

Lennart Schneider, Florian Pfisterer, Paul Kent, Juergen Branke, Bernd Bischl, Janek Thomas; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:9/1-30

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A Tree-Structured Multi-Task Model Recommender

Lijun Zhang, Xiao Liu, Hui Guan; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:10/1-12

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BERT-Sort: A Zero-shot MLM Semantic Encoder on Ordinal Features for AutoML

Mehdi Bahrami, Wei-Peng Chen, Lei Liu, Mukul Prasad; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:11/1-26

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On the Optimality Gap of Warm-Started Hyperparameter Optimization

Parikshit Ram; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:12/1-14

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What to expect of hardware metric predictors in NAS

Kevin Alexander Laube, Maximus Mutschler, Andreas Zell; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:13/1-15

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Bayesian Generational Population-Based Training

Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael Osborne; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:14/1-27

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ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:15/1-18

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Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research

David Salinas, Matthias Seeger, Aaron Klein, Valerio Perrone, Martin Wistuba, Cedric Archambeau; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:16/1-23

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DIFER: Differentiable Automated Feature Engineering

Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, Yihua Huang; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:17/1-17

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When, where, and how to add new neurons to ANNs

Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:18/1-12

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Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning

Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:19/1-18

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Differentiable Architecture Search for Reinforcement Learning

Yingjie Miao, Xingyou Song, John D Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust; Proceedings of the First International Conference on Automated Machine Learning, PMLR 188:20/1-17

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