23 citations · 94 across the 24 of their papers we have counts for
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stat.ML2019★ 1 cited
The Broad Optimality of Profile Maximum Likelihood
Yi Hao, Alon Orlitsky
We study three fundamental statistical-learning problems: distribution estimation, property estimation, and property testing. We establish the profile maximum likelihood (PML) esti…
stat.ML2019★ 5 cited
Data Amplification: A Unified and Competitive Approach to Property Estimation
Yi Hao, Alon Orlitsky, Ananda T. Suresh +1
Estimating properties of discrete distributions is a fundamental problem in statistical learning. We design the first unified, linear-time, competitive, property estimator that for…