Maddox, Wesley J.

1. Subspace Inference for Bayesian Deep Learning
   2019/07/17 by Pavel Izmailov, Wesley J. Maddox, Izmailov, Pavel +9 · 9 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications #Generative Adversarial Networks and Image Synthesis
2. Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
   2021/02/25 by Benton, Gregory W., Maddox, Wesley J., Lotfi, Sanae +1 · 7 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Bayesian Optimization with High-Dimensional Outputs
   2021/06/24 by Maddox, Wesley J., Balandat, Maximilian, Wilson, Andrew Gordon +1 · 5 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited
   2020/03/04 by Wesley J. Maddox, Gregory W. Benton, Maddox, Wesley J. +3 · 4 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
5. On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
   2022/03/30 by Kapoor, Sanyam, Maddox, Wesley J., Izmailov, Pavel +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. When are Iterative Gaussian Processes Reliably Accurate?
   2021/12/31 by Maddox, Wesley J., Kapoor, Sanyam, Wilson, Andrew Gordon · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Fast Adaptation with Linearized Neural Networks
   2021/03/02 by Maddox, Wesley J., Tang, Shuai, Moreno, Pablo Garcia +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Conditioning Sparse Variational Gaussian Processes for Online Decision-making
   2021/10/28 by Wesley J. Maddox, Maddox, Wesley J., Samuel C. Stanton +4 · 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
9. Kernel Interpolation for Scalable Online Gaussian Processes
   2021/03/02 by Samuel Stanton, Wesley J. Maddox, Stanton, Samuel +5 · 1 citation
   Computer Science · Engineering · Decision Sciences · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Advanced Bandit Algorithms Research
10. Low-Precision Arithmetic for Fast Gaussian Processes
    2022/07/14 by Maddox, Wesley J., Potapczynski, Andres, Wilson, Andrew Gordon · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)