Erickson, Nick

11 publications

NeurIPS 2025 MLZero: A Multi-Agent System for End-to-End Machine Learning Automation Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis
NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
AutoML 2025 Multi-Layer Stack Ensembles for Time Series Forecasting Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Turkmen
NeurIPS 2025 TabArena: A Living Benchmark for Machine Learning on Tabular Data Nick Erickson, Lennart Purucker, Andrej Tschalzev, David Holzmüller, Prateek Mutalik Desai, David Salinas, Frank Hutter
AutoML 2024 TabRepo: A Large Scale Repository of Tabular Model Evaluations and Its AutoML Applications David Salinas, Nick Erickson
AutoML 2023 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur, Ali Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
ICML 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
ICML 2023 XTab: Cross-Table Pretraining for Tabular Transformers Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
NeurIPSW 2022 RLSBench: A Large-Scale Empirical Study of Domain Adaptation Under Relaxed Label Shift Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
ICMLW 2021 Multimodal AutoML on Structured Tables with Text Fields Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola
NeurIPS 2020 Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor, Jonas W Mueller, Nick Erickson, Pratik Chaudhari, Alexander J Smola