The CCIMI blog

Machine Learning for Medical Image Analysis

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Regularized linear autoencoders, the Morse theory of loss, and backprop in the brain

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Hard-core configurations on Z^2 and other lattices

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Recent Developments in the Study of Single-Index Type Models

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Geometrizing rates of convergence under local differential privacy

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PDE continuum limits for prediction with expert advice

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Large deviations of subgraph counts for sparse random graphs

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An Introduction to Randomized Algorithms for Matrix Computations This is a joint ACA–CCIMI seminar

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Nonparametric maximum likelihood methods for binary response models with random coefficients

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Communication in the presence of sparsity

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