Quoc Tran-Dinh
PulseAugur coverage of Quoc Tran-Dinh — every cluster mentioning Quoc Tran-Dinh across labs, papers, and developer communities, ranked by signal.
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New variance-reduction techniques for stochastic composite inclusions detailed
Researchers have developed novel variance-reduction techniques for stochastic composite inclusions, introducing both unbiased and biased estimators. The unbiased methods, including mini-batch SGD and loopless-SVRG, achi…
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New accelerated algorithms improve convergence for generalized equations
Researchers have developed a new algorithmic framework that combines Nesterov's acceleration and variance-reduction techniques to solve a class of generalized equations. This method is designed for data-driven applicati…
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New variance-reduced methods accelerate root-finding algorithms
Researchers have developed new variance-reduced fast Krasnoselkii-Mann methods to efficiently solve finite-sum root-finding problems. These methods achieve improved convergence rates, specifically O(1/k^2) and o(1/k^2) …