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Optimal testing using combined test statistics across independent studies
We introduce a natural and mild restriction on the meta-level combination functions of the local trials.
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Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Fréchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables.
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On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
David P. Woodruff, CMU, dwoodruf@cs.cmu.edu "3026 Fred Zhang, UC Berkeley, z0@berkeley.edu "3026 Samson Zhou, Texas A&M University, samsonzhou@gmail.com
In this paper, we study robust algorithms for the experts problem under memory constraints.
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Strategic stability under regularized learning in games
As such, in games where the marginalization of CCE coincides with the game's Nash equilibria (like
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