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10/30/2020
Unsupervised Embedding of Hierarchical Structure in Euclidean Space
Deep embedding methods have influenced many areas of unsupervised learni...
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02/26/2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
The profile of a sample is the multiset of its symbol frequencies. We sh...
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02/22/2020
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
Sample- and computationally-efficient distribution estimation is a funda...
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11/08/2019
Unified Sample-Optimal Property Estimation in Near-Linear Time
We consider the fundamental learning problem of estimating properties of...
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06/10/2019
The Broad Optimality of Profile Maximum Likelihood
We study three fundamental statistical-learning problems: distribution e...
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03/29/2019
Data Amplification: A Unified and Competitive Approach to Property Estimation
Estimating properties of discrete distributions is a fundamental problem...
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03/04/2019
Data Amplification: Instance-Optimal Property Estimation
The best-known and most commonly used distribution-property estimation t...
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10/28/2018
