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Found 3 papers, 2 papers with code
Closed-form Filtering for Non-linear Systems
Sequential Bayesian Filtering aims to estimate the current state distribution of a Hidden Markov Model, given the past observations.
Measuring dissimilarity with diffeomorphism invariance
Measures of similarity (or dissimilarity) are a key ingredient to many machine learning algorithms.
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
Many practical machine learning tasks can be framed as Structured prediction problems, where several output variables are predicted and considered interdependent.
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