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Furthermore, we obtain exactp-values, which are easily computed in terms of the Tulap random variable. We show that our results also apply to distribution-free hypothesis testsforcontinuous data.

The dense connections between layers change the definition of what from one layer to the next.

Reinforcement Learning agent and a configurator that can modify some environmental parameters to improve the agent's performance.

Algorithmic indistinguishability yields a natural test for assessing whether experts incorporate this kind of "side

Randomized smoothing is a popular certified defense against adversarial attacks.

The performance of modern reinforcement learning algorithms critically relies on tuning ever increasing numbers of hyperparameters.