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AutoAI-TS: AutoAI for Time Series Forecasting


Mar 08, 2021
Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculin, Petros Zerfos

* Accepted for publication at ACM SIGMOD 2021 Industry Track 

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How Much Automation Does a Data Scientist Want?


Jan 07, 2021
Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael Muller, Lisa Amini


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Solving Constrained CASH Problems with ADMM


Jul 11, 2020
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthi, Dakuo Wang, Djallel Bouneffouf, Greg Bramble, Horst Samulowitz, Alexander G. Gray

* 7th ICML Workshop on Automated Machine Learning (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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Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI


Sep 05, 2019
Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, Alexander Gray


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Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit


May 31, 2019
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistub

* IJCAI 2019, International Joint Conferences on Artificial Intelligence 

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Automated Machine Learning via ADMM


May 01, 2019
Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R Conn, Horst Samulowitz, Alexander Gray


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Automating Predictive Modeling Process using Reinforcement Learning


Mar 02, 2019
Udayan Khurana, Horst Samulowitz


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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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Neurology-as-a-Service for the Developing World


Nov 22, 2017
Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels

* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

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Feature Engineering for Predictive Modeling using Reinforcement Learning


Sep 21, 2017
Udayan Khurana, Horst Samulowitz, Deepak Turaga


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An effective algorithm for hyperparameter optimization of neural networks


May 23, 2017
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini, Horst Samulowitz


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Selecting Near-Optimal Learners via Incremental Data Allocation


Dec 31, 2015
Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

* AAAI-2016: The Thirtieth AAAI Conference on Artificial Intelligence 

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Search Combinators


Mar 06, 2012
Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey


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