Nick Erickson

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Source And Target Domains

Manifold Alignment

Incremental Learning

Probabilistic Approaches

Top Venues

Publications

Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
XTab: Cross-table Pretraining for Tabular Transformers. ICML (2023)
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)
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR (2023)
Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. CoRR (2023)
Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
XTab: Cross-table Pretraining for Tabular Transformers. CoRR (2023)
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML (2023)
David Salinas, Nick Erickson
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications. CoRR (2023)
Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola
Multimodal AutoML for Image, Text and Tabular Data. KDD (2022)
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
Benchmarking Multimodal AutoML for Tabular Data with Text Fields. CoRR (2021)
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
Benchmarking Multimodal AutoML for Tabular Data with Text Fields. NeurIPS Datasets and Benchmarks (2021)
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS (2020)
Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. CoRR (2020)
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR (2020)
Nick Erickson, Qi Zhao
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning. CoRR (2017)