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Distributed Machine Learning: Communication, Efficiency, and Privacy

Distributed Machine Learning: Communication, Efficiency, and Privacy. Avrim Blum. Carnegie Mellon University. Joint work with Maria-Florina Balcan, Shai Fine, and Yishay Mansour. [RaviKannan60]. Happy birthday Ravi!. And thank you for many enjoyable years working together

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562 views • 43 slides

Learning and Testing Submodular Functions

Learning and Testing Submodular Functions. Columbia University. + Work in progress with Rocco Servedio. With Sofya Raskhodnikova (SODA’13). Grigory Yaroslavtsev. October 26, 2012. Submodularity. Discrete analog of convexity/concavity, law of diminishing returns

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383 views • 19 slides

Supervised Clustering

Pranjal Awasthi , Carnegie Mellon University Reza Bosagh Zadeh, Stanford University. Supervised Clustering. Clustering is usually unsupervised Full supervision renders task meaningless, find middle ground by interacting with teacher Remove subjective ambiguities according to teacher

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271 views • 4 slides

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