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Nick Erickson
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Publications
- 2025
[c11]Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Türkmen:
Multi-layer Stack Ensembles for Time Series Forecasting. AutoML 2025: 15/1-30
[c9]Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Tony Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis:
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. NeurIPS 2025
[i14]Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis:
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR abs/2505.13941 (2025)
[i12]Oleksandr Shchur, Abdul Fatir Ansari, Caner Turkmen, Lorenzo Stella, Nick Erickson, Pablo Guerron, Michael Bohlke-Schneider, Yuyang Wang:
fev-bench: A Realistic Benchmark for Time Series Forecasting. CoRR abs/2509.26468 (2025)
[i9]Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Caner Türkmen:
Multi-layer Stack Ensembles for Time Series Forecasting. CoRR abs/2511.15350 (2025)- 2023
[c6]Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang:
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. AutoML 2023: 9/1-21
[i6]Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang:
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. CoRR abs/2308.05566 (2023)

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