Generalization Bounds
PulseAugur coverage of Generalization Bounds — every cluster mentioning Generalization Bounds across labs, papers, and developer communities, ranked by signal.
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New method computes generalization bounds for Markov algorithms
Researchers have developed a new method to compute generalization bounds for Markov algorithms by leveraging entropy flow computations. This technique extends previous work, which was limited to specific noise and algor…
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New framework quantifies risk from distribution shifts in ML models
Researchers have developed a new framework to address generalization bounds in machine learning models when faced with distribution shifts. This framework quantifies the additional risk introduced by mismatches in regim…
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Papers challenge deep learning theory with generalization bound critiques
Two papers, one from 2016 by Zhang et al. and another from 2019 by Nagarajan and Kolter, are discussed for their impact on deep learning theory. The 2016 paper demonstrated that standard neural networks could easily mem…