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Found 3 papers, 1 papers with code
Conformal Prediction with Learned Features
In this paper, we focus on the problem of conformal prediction with conditional guarantees.
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
However, this "universal" law provides only a necessary condition for robustness, and it is unable to discriminate between models.
Sequential Estimation under Multiple Resources: a Bandit Point of View
Also, we offer an order-optimal algorithm to achieve this lower bound.
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