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Klein, Aaron

  1. BOHB: Robust and Efficient Hyperparameter Optimization at Scale
    2018/07/04 by Stefan Falkner, Aaron Klein, Falkner, Stefan +3 · 35 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  2. NAS-Bench-101: Towards Reproducible Neural Architecture Search
    2019/02/25 by Chris Ying, Ying, Chris, Aaron Klein +9 · 34 citations
    Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Materials Science #Software Engineering Research
  3. Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
    2016/05/23 by Aaron Klein, Stefan Falkner, Klein, Aaron +7 · 29 citations
    Computer Science · Decision Sciences · #Machine Learning and Data Classification #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
  4. Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
    2018/02/20 by Eddy Ilg, Özgün Çiçek, Ilg, Eddy +11 · 11 citations
    Computer Science · #Advanced Vision and Imaging #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  5. HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
    2021/09/14 by Katharina Eggensperger, Eggensperger, Katharina, Philipp Müller +15 · 10 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Metaheuristic Optimization Algorithms Research
  6. BORE: Bayesian Optimization by Density-Ratio Estimation
    2021/02/17 by Tiao, Louis C., Klein, Aaron, Seeger, Matthias +3 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization
    2019/05/13 by Klein, Aaron, Hutter, Frank · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings
    2019/10/10 by Gargiani, Matilde, Klein, Aaron, Falkner, Stefan +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Hyperparameter Transfer Learning with Adaptive Complexity
    2021/02/25 by Horváth, Samuel, Klein, Aaron, Richtárik, Peter +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Automatic Termination for Hyperparameter Optimization
    2021/04/16 by Anastasia Makarova, Makarova, Anastasia, Huibin Shen +13 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  11. Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
    2021/08/26 by Jan Sosulski, David Hübner, Sosulski, Jan +5 · 1 citation
    Computer Science · Neuroscience · #Applications (stat.AP) #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  12. Optimizing Hyperparameters with Conformal Quantile Regression
    2023/05/05 by Salinas, David, Golebiowski, Jacek, Klein, Aaron +2 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  13. Structural Pruning of Pre-trained Language Models via Neural Architecture Search
    2024/05/03 by Klein, Aaron, Golebiowski, Jacek, Ma, Xingchen +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Warmstarting for Scaling Language Models
    2024/11/11 by Neeratyoy Mallik, Maciej Janowski, Mallik, Neeratyoy +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  15. Hyperband-based Bayesian Optimization for Black-box Prompt Selection
    2024/12/10 by Lennart Schneider, Schneider, Lennart, Martin Wistuba +9 · 1 citation
    Computer Science · Engineering · #VLSI and Analog Circuit Testing #Blind Source Separation Techniques #Advanced Wireless Communication Techniques
  16. HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
    2024/05/16 by Rhea Sanjay Sukthanker, Sukthanker, Rhea Sanjay, Arber Zela +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Parallel Computing and Optimization Techniques #Topic Modeling