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The CMIH blog
| February 23, 2022
Variational Bayes for high-dimensional linear regression with sparse priors
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| February 21, 2022
Variational Bayes for high-dimensional linear regression with sparse priors
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| February 9, 2022
On the Sample Complexity of Learning with Geometric Stability
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| January 26, 2022
Deep and reliable – Uncertainty quantification using Empirical Bayesian deep neural networks.
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| December 1, 2021
Deep Denoising for Scientific Discovery
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| November 10, 2021
A medley of geometry, optimal transport, and machine learning
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| November 3, 2021
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training
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| October 20, 2021
Three-point bounds for sphere packing
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| May 18, 2021
The linear Vlasov equation in geometric backgrounds
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| May 18, 2021
Random Walk in hyperbolic spaces
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