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07/18/2023
How Many Neurons Does it Take to Approximate the Maximum?
We study the size of a neural network needed to approximate the maximum ...
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06/06/2022
Finite-Sample Maximum Likelihood Estimation of Location
We consider 1-dimensional location estimation, where we estimate a param...
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11/17/2020
Optimal Sub-Gaussian Mean Estimation in ℝ
We revisit the problem of estimating the mean of a real-valued distribut...
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11/09/2019
How bad is worst-case data if you know where it comes from?
We introduce a framework for studying how distributional assumptions on ...
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04/19/2019
Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins
Given a mixture between two populations of coins, "positive" coins that ...
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04/19/2019