Hypothesis testing with active information

11/09/2020

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We develop hypothesis testing for active information -the averaged quantity in the Kullback-Liebler divergence. To our knowledge, this is the first paper to derive exact probabilities of type-I errors for hypothesis testing in the area.

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Hypothesis testing with active information

Interpolating between symmetric and asymmetric hypothesis testing

New Upper Bounds in the Hypothesis Testing Problem with Information Constraints

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Ke Li's lemma for quantum hypothesis testing in general von Neumann algebras

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Hypothesis testing with active information

Related Research

Interpolating between symmetric and asymmetric hypothesis testing

New Upper Bounds in the Hypothesis Testing Problem with Information Constraints

Using Ordinal Data to Assess Distance Learning

Nonzero-sum Adversarial Hypothesis Testing Games

Ke Li's lemma for quantum hypothesis testing in general von Neumann algebras

Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary

Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning