Yoshida
PulseAugur coverage of Yoshida — every cluster mentioning Yoshida across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Algorithm improved for selecting top candidates with predictions
Researchers have improved upon the Learned Kleinberg algorithm for the multiple-choice secretary problem, which aims to select up to k candidates to maximize their total value when candidates arrive in a random order. T…
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New bounds established for Moreau--Yosida unadjusted Langevin sampling
Researchers have established near-linear accuracy bounds for the Moreau--Yosida unadjusted Langevin algorithm (MYULA). The analysis provides an explicit step-size condition under which the invariant-measure bias relativ…
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New theoretical bounds improve Langevin sampling for complex distributions
Researchers have developed new theoretical bounds for the Moreau--Yosida unadjusted Langevin algorithm (MYULA), a method used for sampling from complex probability distributions. The study focuses on nonsmooth composite…