Nick Erickson - RankMe

22 papers A* 4Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chronos-2: From Univariate to Universal Forecasting. CoRR Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025	J	`jnl`	MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR 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
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR 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
2025	—	`conf`	Multi-layer Stack Ensembles for Time Series Forecasting. AutoML Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Türkmen
2025	J	`jnl`	Multi-layer Stack Ensembles for Time Series Forecasting. CoRR Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Caner Türkmen
2025	J	`jnl`	TabArena: A Living Benchmark for Machine Learning on Tabular Data. CoRR Nick Erickson, Lennart Purucker, Andrej Tschalzev, David Holzmüller, Prateek Mutalik Desai, David Salinas, Frank Hutter
2025	J	`jnl`	fev-bench: A Realistic Benchmark for Time Series Forecasting. CoRR Oleksandr Shchur, Abdul Fatir Ansari, Caner Turkmen, Lorenzo Stella, Nick Erickson, Pablo Guerron, Michael Bohlke-Schneider, Yuyang Wang
2024	—	`conf`	TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications. AutoML David Salinas, Nick Erickson
2023	—	`conf`	AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. AutoML Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
2023	J	`jnl`	AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. CoRR Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang
2023	A*	`conf`	RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
2023	J	`jnl`	RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2023	J	`jnl`	TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications. CoRR David Salinas, Nick Erickson
2023	A*	`conf`	XTab: Cross-table Pretraining for Tabular Transformers. ICML Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2023	J	`jnl`	XTab: Cross-table Pretraining for Tabular Transformers. CoRR Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2022	A*	`conf`	Multimodal AutoML for Image, Text and Tabular Data. KDD Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola
2021	—	`conf`	Benchmarking Multimodal AutoML for Tabular Data with Text Fields. NeurIPS Datasets and Benchmarks Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
2021	J	`jnl`	Benchmarking Multimodal AutoML for Tabular Data with Text Fields. CoRR Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
2020	J	`jnl`	AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. CoRR Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola
2020	A*	`conf`	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
2020	J	`jnl`	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
2017	J	`jnl`	Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning. CoRR Nick Erickson, Qi Zhao