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Statistics, Computation and Learning with Graph Neural Networks

Abstract: Deep Learning, thanks mostly to Convolutional architectures, has recently transformed computer vision and speech recognition. Their ability to encode geometric stability priors, while offering enough expressive power, is at…

Unbiased Markov chain Monte Carlo with couplings

MIT Building E18, Room 304 Ford Building (E18), 50 Ames Street, Cambridge

Abstract: Markov chain Monte Carlo methods provide consistent approximations of integrals as the number of iterations goes to infinity. However, these estimators are generally biased after any fixed number of iterations,…

Structure, Randomness and Universality

32-G449 (Kiva)

What is the minimum possible number of vertices of a graph that contains every k-vertex graph as an induced subgraph? What is the minimum possible number of edges in a…


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