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Osborne, Michael A.

  1. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
    2024/02/01 by Theodore Papamarkou, Maria Skoularidou, Papamarkou, Theodore +48 · 1 voice · 22 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.LG #stat.ML
  2. Bayesian Optimisation over Multiple Continuous and Categorical Inputs
    2019/06/20 by Binxin Ru, Ahsan Alvi, Ru, Binxin +7 · 11 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  3. Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
    2021/02/14 by Wan, Xingchen, Nguyen, Vu, Ha, Huong +3 · 11 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Universal Approximation of Functions on Sets
    2021/07/05 by Edward Wagstaff, Wagstaff, Edward, Fabian B. Fuchs +7 · 11 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  5. Active Learning of Linear Embeddings for Gaussian Processes
    2013/10/24 by Garnett, Roman, Osborne, Michael A., Hennig, Philipp · 7 citations
    #68T05 #FOS: Computer and information sciences #G.3 #I.2.6 #I.5.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Preconditioning Kernel Matrices
    2016/02/22 by Kurt Cutajar, Cutajar, Kurt, Michael A. Osborne +5 · 10 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Gaussian Processes and Bayesian Inference #Machine Learning and ELM
  7. Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
    2022/10/18 by Samuel Daulton, Daulton, Samuel, Xingchen Wan +9 · 8 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC)
  8. Robust Multi-Objective Bayesian Optimization Under Input Noise
    2022/02/15 by Samuel Daulton, Sait Cakmak, Daulton, Samuel +9 · 7 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimal Experimental Design Methods #Optimization and Control (math.OC)
  9. Probabilistic Integration: A Role in Statistical Computation?
    2015/12/03 by Briol, François-Xavier, Oates, Chris. J., Girolami, Mark +2 · 5 citations
    #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistics Theory (math.ST)
  10. Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
    2022/06/09 by Cong Lu, Philip Ball, Lu, Cong +9 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  11. Bayesian Generational Population-Based Training
    2022/07/19 by Xingchen Wan, Wan, Xingchen, Cong Lu +11 · 6 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  12. Variational Inference for Gaussian Process Modulated Poisson Processes
    2014/11/02 by Lloyd, Chris, Gunter, Tom, Osborne, Michael A. +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  13. Bayesian Optimisation of Functions on Graphs
    2023/06/08 by Wan, Xingchen, Osselin, Pierre, Kenlay, Henry +3 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Revisiting Design Choices in Offline Model-Based Reinforcement Learning
    2021/10/08 by Cong Lu, Lu, Cong, Philip Ball +7 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  15. Bayesian Optimization for Dynamic Problems
    2018/03/09 by Favour Nyikosa, Nyikosa, Favour M., Michael A. Osborne +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
  16. Optimization, fast and slow: optimally switching between local and Bayesian optimization
    2018/05/22 by Mark McLeod, Michael A. Osborne, McLeod, Mark +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  17. Adversarial Attacks on Graph Classification via Bayesian Optimisation
    2021/11/04 by Xingchen Wan, Wan, Xingchen, Henry Kenlay +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Automated Model Selection with Bayesian Quadrature
    2019/02/26 by Henry Chai, Chai, Henry, Jean-François Ton +5 · 4 citations
    Engineering · Computer Science · #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
  19. A Kernel for Hierarchical Parameter Spaces
    2013/10/21 by Frank Hutter, Michael A. Osborne, Hutter, Frank +1 · 2 citations
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods
  20. Fast Information-theoretic Bayesian Optimisation
    2017/11/02 by Binxin Ru, Mark McLeod, Ru, Binxin +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms
  21. Asynchronous Batch Bayesian Optimisation with Improved Local\n Penalisation
    2019/01/29 by Ahsan Alvi, Bin Xin Ru, Alvi, Ahsan S. +9 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #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 Algorithms #Machine Learning and Data Classification
  22. Walking the Values in Bayesian Inverse Reinforcement Learning
    2024/07/15 by Ondřej Bajgar, Bajgar, Ondrej, Alessandro Abate +5 · 3 citations
    Computer Science · #Reinforcement Learning in Robotics
  23. Scalable Valuation of Human Feedback through Provably Robust Model Alignment
    2025/05/23 by Fujisawa, Masahiro, Adachi, Masaki, Osborne, Michael A. · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. On Pathologies in KL-Regularized Reinforcement Learning from Expert\n Demonstrations
    2022/12/28 by Tim G. J. Rudner, Cong Lu, Rudner, Tim G. J. +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Reinforcement Learning in Robotics
  25. Principled Bayesian Optimisation in Collaboration with Human Experts
    2024/10/14 by Wenjie Xu, Masaki Adachi, Xu, Wenjie +5 · 2 citations
    Engineering · Psychology · #Design Education and Practice #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Systems Engineering Methodologies and Applications #Team Dynamics and Performance
  26. Time-Varying Gaussian Process Bandits with Unknown Prior
    2024/02/02 by Juliusz Ziomek, Ziomek, Juliusz, Masaki Adachi +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Position: Ensuring mutual privacy is necessary for effective external evaluation of proprietary AI systems
    2025/03/03 by Ben Bucknall, Bucknall, Ben, Robert Trager +3 · 3 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
  28. Bayesian Optimization for Building Social-Influence-Free Consensus
    2025/02/11 by Masaki Adachi, Adachi, Masaki, Siu Lun Chau +9 · 4 citations
    Physics and Astronomy · #Opinion Dynamics and Social Influence
  29. Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
    2024/10/14 by Juliusz Ziomek, Ziomek, Juliusz, Masaki Adachi +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference
  30. Practical Bayesian Optimization for Variable Cost Objectives
    2017/03/13 by Mark McLeod, McLeod, Mark, Michael A. Osborne +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
  31. Meta-learning characteristics and dynamics of quantum systems
    2025/03/13 by Lucas Schorling, Schorling, Lucas, Pranav Vaidhyanathan +17 · 3 citations
    Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum many-body systems
  32. Distribution of Gaussian Process Arc Lengths
    2017/03/23 by Justin Dragon Bewsher, Alessandra Tosi, Bewsher, Justin D. +5 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Laser-induced spectroscopy and plasma #Machine Learning (stat.ML)