Statistical Learning
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Regularized Frank
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In this paper, we revisit dense CRFs with two contributions.
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Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis Dachao Lin Y uze Han Haishan Y e
Neural Information Processing Systems
We propose two new algorithms, SVRS and AccSVRS, motivated by previous works.
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AdaptiveSamplingforStochasticRisk-Averse Learning
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Machine learning systems are increasingly deployed in high-stakes applications.
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