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ENTITY Weibel et al.

Weibel et al.

PulseAugur coverage of Weibel et al. — every cluster mentioning Weibel et al. across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_273635 ·

    New research establishes lower bounds for online learning regret rates

    A new paper published on arXiv by Weibel et al. addresses the regret rate in online learning for convex sets. The research proves a conjecture that fixed-coefficient methods cannot improve upon the $T^{3/4}$ regret rate…