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HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML

Jun 11, 2021
Sebastian Pineda Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka

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A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Jan 22, 2021
Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smail Niar, Martin Wistuba, Naigang Wang

* Submitted to Proceedings of IEEE 

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Few-Shot Bayesian Optimization with Deep Kernel Surrogates

Jan 19, 2021
Martin Wistuba, Josif Grabocka

* Published as a conference paper at ICLR 2021 

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Learning to Rank Learning Curves

Jun 05, 2020
Martin Wistuba, Tejaswini Pedapati

* Accepted at the International Conference on Machine Learning (ICML) 2020 

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How can AI Automate End-to-End Data Science?

Oct 22, 2019
Charu Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander Gray

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XferNAS: Transfer Neural Architecture Search

Jul 18, 2019
Martin Wistuba

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A Survey on Neural Architecture Search

May 04, 2019
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati

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Inductive Transfer for Neural Architecture Optimization

Mar 08, 2019
Martin Wistuba, Tejaswini Pedapati

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NeuNetS: An Automated Synthesis Engine for Neural Network Design

Jan 17, 2019
Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati

* 14 pages, 12 figures. arXiv admin note: text overlap with arXiv:1806.00250 

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Adversarial Robustness Toolbox v0.3.0

Aug 08, 2018
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Ian M. Molloy, Ben Edwards

* 33 pages 

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Finding Competitive Network Architectures Within a Day Using UCT

Jul 23, 2018
Martin Wistuba

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Neural Feature Learning From Relational Database

Jun 17, 2018
Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba

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Automated Image Data Preprocessing with Deep Reinforcement Learning

Jun 15, 2018
Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba

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Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data

Jun 07, 2018
Martin Wistuba, Ambrish Rawat

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Adversarial Phenomenon in the Eyes of Bayesian Deep Learning

Nov 22, 2017
Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae

* 13 pages, 7 figures 

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Bank Card Usage Prediction Exploiting Geolocation Information

Oct 13, 2016
Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme

* Describes the winning solution for the ECML-PKDD 2016 Discovery Challenge on Bank Card Usage Analysis. Final results on the private leaderboard are available here: 

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Ultra-Fast Shapelets for Time Series Classification

Mar 17, 2015
Martin Wistuba, Josif Grabocka, Lars Schmidt-Thieme

* Preprint submitted to Journal of Data & Knowledge Engineering January 24, 2015 

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Scalable Discovery of Time-Series Shapelets

Mar 11, 2015
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme

* Under review in the journal "Knowledge and Information Systems" (KAIS) 

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Time-Series Classification Through Histograms of Symbolic Polynomials

Dec 23, 2013
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme

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