Nick Erickson

6 papers · 2020–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AutoML (3) ICML (2) NeurIPS (1)

Top co-authors

Oleksandr Shchur (2) Ali Caner Turkmen (2) James Sharpnack (1) Michael Bohlke-Schneider (1) Zachary Chase Lipton (1) Xingjian SHI (1) Sivaraman Balakrishnan (1) Rasool Fakoor (1) Saurabh Garg (1) Mahsa Shoaran (1)

Research topics

Machine Learning (5) Application Areas (4) Artificial Intelligence (2) Deep Learning (2) Core Methods (2) Learning Paradigms (2) Learning Types · Machine Learning (2) Data Science & Analytics (1) Learning Types · Deep Learning (1) Methods (1) Techniques (1)

Keywords

time series forecasting (2) automated machine learning (2) transfer learning (2) ensemble learning (2) tabular data (2) data augmentation (1) model evaluation (1) gibbs sampling (1) multi-class classification (1) distribution shift (1) label shift (1) ensemble model (1) ensemble distillation (1) probabilistic forecasting (1) real-world dataset (1) automl system (1) state of the art (1) cross-table pretraining (1) label proportion (1) relaxed label shift (1)

Papers

Multi-layer Stack Ensembles for Time Series Forecasting AutoML 2025 TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications AutoML 2024 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting AutoML 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023 XTab: Cross-table Pretraining for Tabular Transformers ICML 2023 Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NeurIPS 2020