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Wesley J. Maddox
Wesley J. Maddox
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Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
A simple baseline for bayesian uncertainty in deep learning
W Maddox, T Garipov, P Izmailov, D Vetrov, AG Wilson
Advances in Neural Information Processing Systems 32, 2019
8172019
Subspace Inference for Bayesian Deep Learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence 35, 2019
1642019
The uncommercial traveler and Reprinted pieces
C Dickens, W Maddox, F Walker
(No Title), 1958
791958
Accelerating bayesian optimization for biological sequence design with denoising autoencoders
S Stanton, W Maddox, N Gruver, P Maffettone, E Delaney, P Greenside, ...
International Conference on Machine Learning, 20459-20478, 2022
602022
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
GW Benton, WJ Maddox, S Lotfi, AG Wilson
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
592021
Heteroplasmic shifts in tumor mitochondrial genomes reveal tissue-specific signals of relaxed and positive selection
S Grandhi, C Bosworth, W Maddox, C Sensiba, S Akhavanfard, Y Ni, ...
Human molecular genetics 26 (15), 2912-2922, 2017
592017
Rethinking parameter counting in deep models: Effective dimensionality revisited
WJ Maddox, G Benton, AG Wilson
arXiv preprint arXiv:2003.02139, 2020
512020
Bayesian optimization with high-dimensional outputs
WJ Maddox, M Balandat, AG Wilson, E Bakshy
Advances in neural information processing systems 34, 19274-19287, 2021
472021
Fast adaptation with linearized neural networks
W Maddox, S Tang, P Moreno, AG Wilson, A Damianou
International Conference on Artificial Intelligence and Statistics, 2737-2745, 2021
382021
Function-space distributions over kernels
GW Benton, WJ Maddox, JP Salkey, J Albinati, AG Wilson
Advances in Neural Information Processing Systems 32, 2019
372019
Kernel interpolation for scalable online Gaussian processes
S Stanton, W Maddox, I Delbridge, AG Wilson
International Conference on Artificial Intelligence and Statistics, 3133-3141, 2021
262021
On uncertainty, tempering, and data augmentation in bayesian classification
S Kapoor, WJ Maddox, P Izmailov, AG Wilson
Advances in Neural Information Processing Systems 35, 18211-18225, 2022
252022
Conditioning sparse variational Gaussian processes for online decision-making
WJ Maddox, S Stanton, AG Wilson
Advances in Neural Information Processing Systems 34, 6365-6379, 2021
232021
Invertible convolutional networks
M Finzi, P Izmailov, W Maddox, P Kirichenko, AG Wilson
Workshop on Invertible Neural Nets and Normalizing Flows, International …, 2019
192019
Similarity of neural networks with gradients
S Tang, WJ Maddox, C Dickens, T Diethe, A Damianou
arXiv preprint arXiv:2003.11498, 2020
182020
Bayesian optimization with conformal prediction sets
S Stanton, W Maddox, AG Wilson
International Conference on Artificial Intelligence and Statistics, 959-986, 2023
122023
Optimizing high-dimensional physics simulations via composite bayesian optimization
W Maddox, Q Feng, M Balandat
arXiv preprint arXiv:2111.14911, 2021
102021
When are Iterative Gaussian Processes Reliably Accurate?
WJ Maddox, S Kapoor, AG Wilson
arXiv preprint arXiv:2112.15246, 2021
92021
Fast uncertainty estimates and bayesian model averaging of dnns
W Maddox, T Garipov, P Izmailov, D Vetrov, AG Wilson
Uncertainty in Deep Learning Workshop at UAI 8, 2018
82018
Low-precision arithmetic for fast Gaussian processes
WJ Maddox, A Potapcynski, AG Wilson
Uncertainty in Artificial Intelligence, 1306-1316, 2022
72022
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