Holmes, Chris
- Martingale posterior distributions
2021/03/29 by Edwin Fong, Chris Holmes, Fong, Edwin +3 · 2 voices · 12 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Advanced Statistical Methods and Models
- Conformal Bayesian Computation
2021/06/11 by Edwin Fong, Chris Holmes, Fong, Edwin +1 · 1 voice · 10 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #stat.CO #stat.ME
- Assigning a value to a power likelihood in a general Bayesian model
2017/01/30 by Chris Holmes, Holmes, Chris, Stephen G. Walker +1 · 10 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Inference
- General Bayesian Updating and the Loss-Likelihood Bootstrap
2017/09/22 by Simon Lyddon, Chris Holmes, Lyddon, Simon +3 · 5 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
2024/06/02 by Falck, Fabian, Wang, Ziyu, Holmes, Chris · 11 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
2020/06/15 by Sheheryar Zaidi, Arber Zela, Zaidi, Sheheryar +9 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Learning from data with structured missingness
2023/04/04 by Robin Mitra, Mitra, Robin, Sarah F. McGough +37 · 6 citations
Computer Science · Environmental Science · #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
- A Framework for Adaptive MCMC Targeting Multimodal Distributions
2018/12/06 by Pompe, Emilia, Holmes, Chris, Łatuszyński, Krzysztof · 3 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Probability (math.PR)
- Semiparametric posterior corrections
2023/06/09 by Andrew Yiu, Edwin Fong, Yiu, Andrew +5 · 5 citations
Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
2019/02/08 by Edwin Fong, Fong, Edwin, Simon Lyddon +3 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
- On the marginal likelihood and cross-validation
2019/05/21 by Fong, Edwin, Holmes, Chris · 3 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Multi-Facet Clustering Variational Autoencoders
2021/06/09 by Fabian Falck, Haoting Zhang, Falck, Fabian +9 · 3 citations
Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Confidence in the Reasoning of Large Language Models
2024/12/19 by Yudi Pawitan, Pawitan, Yudi, Christopher Holmes +1 · 8 citations
Computer Science · #Natural Language Processing Techniques
- A Unified Framework for U-Net Design and Analysis
2023/05/31 by Christopher B. Williams, Williams, Christopher, Fabian Falck +9 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #electronic engineering #information engineering
- On Markov chain Monte Carlo methods for tall data
2015/05/11 by Bardenet, Rémi, Doucet, Arnaud, Holmes, Chris · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
2024/06/07 by Ziyu Wang, Wang, Ziyu, Chris Holmes +1 · 1 voice · 3 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #stat.ML
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
2024/09/24 by Hannah Kerner, Snehal Chaudhari, Kerner, Hannah +20 · 5 citations
Agricultural and Biological Sciences · #Agricultural Innovations and Practices #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors
2010/09/09 by Lee, Anthony, Caron, Francois, Doucet, Arnaud +1 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
- A large-scale and PCR-referenced vocal audio dataset for COVID-19
2022/12/15 by Jobie Budd, Budd, Jobie, Kieran Baker +49 · 2 citations
Medicine · #Audio and Speech Processing (eess.AS) #COVID-19 diagnosis using AI #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Phonocardiography and Auscultation Techniques #Respiratory and Cough-Related Research #Sound (cs.SD) #electronic engineering #information engineering
- Approximate Models and Robust Decisions
2014/02/25 by Watson, James, Holmes, Chris · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
2022/12/15 by Harry Coppock, The Alan Turing Institute, Coppock, Harry +49 · 2 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Music and Audio Processing #Phonocardiography and Auscultation Techniques
- Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
2024/03/03 by Sam Dauncey, Dauncey, Sam, Chris Holmes +5 · 2 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Distributed Sensor Networks and Detection Algorithms #Bayesian Methods and Mixture Models
- Explainable AI for survival analysis: a median-SHAP approach
2024/01/30 by Lucile Ter-Minassian, Ter-Minassian, Lucile, Sahra Ghalebikesabi +5 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- On Locality of Local Explanation Models
2021/06/24 by Sahra Ghalebikesabi, Lucile Ter-Minassian, Ghalebikesabi, Sahra +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Machine learning and AI research for Patient Benefit: 20 Critical\n Questions on Transparency, Replicability, Ethics and Effectiveness
2018/12/21 by Sebastian J. Vollmer, Vollmer, Sebastian, Bilal A. Mateen +33 · 1 citation
Economics, Econometrics and Finance · Health Professions · Medicine · #68T01 #Applications (stat.AP) #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Healthcare cost, quality, practices #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates
2022/06/13 by Ghalebikesabi, Sahra, Holmes, Chris, Fong, Edwin +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
2024/01/31 by Lucile Ter-Minassian, Ter-Minassian, Lucile, Liran Szlak +7 · 1 citation
Computer Science · Engineering · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- A general framework for probabilistic model uncertainty
2024/10/22 by Vik Shirvaikar, Shirvaikar, Vik, Stephen G. Walker +3 · 1 citation
Decision Sciences · #FOS: Computer and information sciences #Methodology (stat.ME) #Probabilistic and Robust Engineering Design
- Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
2024/09/11 by Jake Fawkes, Fawkes, Jake, Lucile Ter-Minassian +7 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)