Nick Erickson
6 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
AUTOML (3)
ICML (2)
NIPS (1)
Top co-authors
Keywords
automated machine learning
(2)
tabular datum
(2)
ensemble learning
(2)
self-supervised learning
(1)
knowledge distillation
(1)
model distillation
(1)
data augmentation
(1)
multiclass classification
(1)
gibbs sampling
(1)
time series forecasting
(1)
distribution shift
(1)
label shift
(1)
ensemble distillation
(1)
probabilistic forecasting
(1)
cross-table pretraining
(1)
label proportion
(1)
relaxed label shift
(1)
quantile forecast
(1)
federated learning
(1)
point forecast
(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
NIPS 2020