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Aaron Klein

  1. BOHB: Robust and Efficient Hyperparameter Optimization at Scale
    2018/07/04 by Stefan Falkner, Aaron Klein, Falkner, Stefan +3 · 50 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, Aaron Klein, Ying, Chris +9 · 58 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 · 34 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, Ilg, Eddy, Özgün Çiçek +11 · 15 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 · 13 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Metaheuristic Optimization Algorithms Research
  6. Automatic Termination for Hyperparameter Optimization
    2021/04/16 by Anastasia Makarova, Huibin Shen, Makarova, Anastasia +13 · 3 citations
    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
  7. Optimizing Hyperparameters with Conformal Quantile Regression
    2023/05/05 by David Salinas, Jacek Gołębiowski, Salinas, David +7 · 2 citations
    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
  8. Meta-Surrogate Benchmarking for Hyperparameter Optimization
    2019/05/30 by Aaron Klein, Zhenwen Dai, Klein, Aaron +7 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  9. Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings
    2019/10/10 by Matilde Gargiani, Gargiani, Matilde, Aaron Klein +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  10. Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
    2021/08/26 by Jan Sosulski, Sosulski, Jan, David Hübner +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)
  11. Structural Pruning of Pre-trained Language Models via Neural Architecture Search
    2024/05/03 by Aaron Klein, Klein, Aaron, Jacek Gołębiowski +7 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  12. Warmstarting for Scaling Language Models
    2024/11/11 by Neeratyoy Mallik, Mallik, Neeratyoy, Maciej Janowski +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  13. Hyperband-based Bayesian Optimization for Black-box Prompt Selection
    2024/12/10 by Lennart Schneider, Martin Wistuba, Schneider, Lennart +9 · 1 citation
    Computer Science · Engineering · #VLSI and Analog Circuit Testing #Blind Source Separation Techniques #Advanced Wireless Communication Techniques