Huibin Shen

6 papers · 2019–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AutoML (3) AISTATS (1) ICML (1) NeurIPS (1)

Top co-authors

Valerio Perrone (3) Aaron Klein (2) Cédric Archambeau (2) Oleksandr Shchur (2) David Salinas (2) Ali Caner Turkmen (2) Bernie Wang (2) Sigrid Passano Hellan (1) Rodolphe Jenatton (1) Lorenzo Stella (1)

Research topics

Machine Learning (6) Artificial Intelligence (3) Optimization & Theory (3) Deep Learning (2) Application Areas (2) Learning Paradigms (2) Learning Types · Machine Learning (2) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1)

Keywords

bayesian optimization (3) transfer learning (3) hyperparameter optimization (2) time series forecasting (2) quantile regression (1) early stopping (1) hyperparameter tuning (1) gaussian copula (1) pre-trained model (1) probabilistic forecasting (1) exogenous variable (1) sequential task (1) search space (1) synthetic dataset (1) automated machine learning (1) overfitting prevention (1) covariate information (1) validation error (1) optimal termination (1) hyperparameter landscape (1)

Papers

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables AISTATS 2025 Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimization AutoML 2025 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting AutoML 2023 Automatic Termination for Hyperparameter Optimization AutoML 2022 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NeurIPS 2019