Aaron Klein
16 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(5)
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Academic Marathon
(10)
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Cross-Pollinator
(12)
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Keyword Champion
(2)
ποΈ
Keyword Collector
(52)
π
Century Club
(16)
π₯
Unstoppable
(5)
π
Trend Setter
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Conference Pioneer
Conferences
ICML (5)
AUTOML (4)
NIPS (4)
AISTATS (2)
ECCV (1)
Top co-authors
Keywords
hyperparameter optimization
(9)
bayesian optimization
(7)
surrogate model
(4)
model selection
(3)
neural architecture search
(2)
transfer learning
(2)
automated machine learning
(2)
multi-task learning
(2)
multi-objective optimization
(2)
ensemble learning
(2)
conformal prediction
(1)
distributed learning
(1)
neural network optimization
(1)
gaussian process
(1)
sample efficiency
(1)
early stopping
(1)
neural network training
(1)
expected improvement
(1)
density ratio estimation
(1)
quantile regression
(1)
Papers
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimization
AUTOML 2025
Hyperband-based Bayesian Optimization for Black-box Prompt Selection
ICML 2025
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
NIPS 2024
Optimizing Hyperparameters with Conformal Quantile Regression
ICML 2023
Automatic Termination for Hyperparameter Optimization
AUTOML 2022
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
AUTOML 2022
BORE: Bayesian Optimization by Density-Ratio Estimation
ICML 2021
Hyperparameter Transfer Learning with Adaptive Complexity
AISTATS 2021
NAS-Bench-101: Towards Reproducible Neural Architecture Search
ICML 2019
Meta-Surrogate Benchmarking for Hyperparameter Optimization
NIPS 2019
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
ECCV 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
ICML 2018
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
AISTATS 2017
Towards Automatically-Tuned Neural Networks
AUTOML 2016
Bayesian Optimization with Robust Bayesian Neural Networks
NIPS 2016
Efficient and Robust Automated Machine Learning
NIPS 2015