Chris Holmes
- Martingale posterior distributions
2021/03/29 by Edwin Fong, Chris Holmes, Fong, Edwin +3 · 2 voices · 14 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 · 12 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 · 11 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 Fabian Falck, Ziyu Wang, Falck, Fabian +3 · 12 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
2020/06/15 by Sheheryar Zaidi, Zaidi, Sheheryar, Arber Zela +9 · 8 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 · 7 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
- Better together? Statistical learning in models made of modules
2017/08/29 by Pierre Jacob, Jacob, Pierre E., Lawrence M. Murray +5 · 7 citations
Computer Science · Mathematics · #Data Analysis with R #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
- Multi-Facet Clustering Variational Autoencoders
2021/06/09 by Fabian Falck, Falck, Fabian, Haoting Zhang +9 · 4 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)
- Semiparametric posterior corrections
2023/06/09 by Andrew Yiu, Yiu, Andrew, Edwin Fong +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)
- A Unified Framework for U-Net Design and Analysis
2023/05/31 by Christopher B. Williams, Fabian Falck, Williams, Christopher +9 · 5 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
- Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
2019/02/08 by Edwin Fong, Simon Lyddon, Fong, Edwin +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
- 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 · 8 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)
- 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
- The epidemiological impact of the NHS COVID-19 app
2021/05/12 by Chris Wymant, Luca Ferretti, Daphne Tsallis +11 · 1 voice · 5 citations
Computer Science · Health Professions · Mathematics · #COVID-19 Digital Contact Tracing #COVID-19 epidemiological studies #Mobile Health and mHealth Applications
- Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis
2020/10/14 by Michelle Kendall, Luke Milsom, Lucie Abeler‐Dörner +7 · 1 voice · 2 citations
Computer Science · Mathematics · Medicine · #COVID-19 Digital Contact Tracing #COVID-19 epidemiological studies #Data-Driven Disease Surveillance
- A large-scale and PCR-referenced vocal audio dataset for COVID-19
2022/12/15 by Jobie Budd, Kieran Baker, Budd, Jobie +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
- Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
2022/12/15 by Harry Coppock, Coppock, Harry, The Alan Turing Institute +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
- Nonparametric learning from Bayesian models with randomized objective functions
2018/06/29 by Simon Lyddon, Lyddon, S. P., Stephen G. Walker +3 · 1 citation
Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
- 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)
- Specialized curricula for training vision-language models in retinal image analysis
2024/07/11 by Robbie Holland, Thomas R. Taylor, Holland, Robbie +29 · 2 citations
Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Medical and Biological Sciences
- 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, Bilal A. Mateen, Vollmer, Sebastian +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)
- 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)