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Found 4 papers, 1 papers with code
SAFFRON: an adaptive algorithm for online control of the false discovery rate
However, unlike older methods, SAFFRON's threshold sequence is based on a novel estimate of the alpha fraction that it allocates to true null hypotheses.
When is it Better to Compare than to Score?
When eliciting judgements from humans for an unknown quantity, one often has the choice of making direct-scoring (cardinal) or comparative (ordinal) measurements.
Comunication-Efficient Algorithms for Statistical Optimization
We analyze two communication-efficient algorithms for distributed statistical optimization on large-scale data sets.
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
The goal of decentralized optimization over a network is to optimize a global objective formed by a sum of local (possibly nonsmooth) convex functions using only local computation and communication.
