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20142022
most citedOptimal query complexity for private sequential learning against eavesdropping

12 citations · 28 across the 11 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.DS2019★ 1 cited

Consistent recovery threshold of hidden nearest neighbor graphs

Jian Ding, Yihong Wu, Jiaming Xu +1

Motivated by applications such as discovering strong ties in social networks and assembling genome subsequences in biology, we study the problem of recovering a hidden -nearest…

math.ST2019★ 1 cited

Rapid mixing of a Markov chain for an exponentially weighted aggregation estimator

David Pollard, Dana Yang

The Metropolis-Hastings method is often used to construct a Markov chain with a given as its stationary distribution. The method works even if is known only up to an intrac…

stat.ML2019★ 12 cited

Optimal query complexity for private sequential learning against eavesdropping

Jiaming Xu, Kuang Xu, Dana Yang

We study the query complexity of a learner-private sequential learning problem, motivated by the privacy and security concerns due to eavesdropping that arise in practical applicat…

math.ST2019★ 1 cited

Fair quantile regression

Dana Yang, John Lafferty, David Pollard

Quantile regression is a tool for learning conditional distributions. In this paper we study quantile regression in the setting where a protected attribute is unavailable when fitt…

math.ST2019★ 3 cited

The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers

Pierre C Bellec, Dana Yang

We consider the problem of selecting the best estimator among a family of Tikhonov regularized estimators, or, alternatively, to select a linear combination of these regularizers t…