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Bregman Distance and Strong Convergence of Proximal-Type Algorithms
Bregman Distance and Strong Convergence of Proximal-Type Algorithms
PulseAugur coverage of Bregman Distance and Strong Convergence of Proximal-Type Algorithms — every cluster mentioning Bregman Distance and Strong Convergence of Proximal-Type Algorithms across labs, papers, and developer communities, ranked by signal.
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New mirror descent algorithms with logarithmic barriers detailed in arXiv paper
This paper introduces new convergence guarantees for mirror descent and proximal mirror descent algorithms when employing a logarithmic barrier. The authors propose a method that avoids the Bregman divergence blowing up…
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Two arXiv papers analyze statistical inverse problems in AI and ML
Two new research papers submitted to arXiv explore statistical inverse problems within machine learning and artificial intelligence. The first paper focuses on regularization techniques for these problems in non-reflexi…