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ENTITY Gollapudi et al.

Gollapudi et al.

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

Total · 30d
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Releases · 30d
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Papers · 30d
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TIER MIX · 90D
SENTIMENT · 30D

1 day(s) with sentiment data

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  1. TOOL · CL_29559 ·

    New method achieves finite regret bounds in online inverse linear optimization

    Researchers have developed a new method for online inverse linear optimization, a technique used in contextual recommendation systems. This approach achieves a finite regret bound of O(d log d) for M-convex action sets,…