Deep density ratio estimation for change point detection

23 May 2019Haidar KhanLara MarcuseBülent Yener

In this work, we propose new objective functions to train deep neural network based density ratio estimators and apply it to a change point detection problem. Existing methods use linear combinations of kernels to approximate the density ratio function by solving a convex constrained minimization problem... (read more)

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