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STOC 2017 accepted papers are out with a dozen or so learning theory papers!

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Second post by Miklos Racz , this time on estimating some geometric features of a network.

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First post in a series of guest posts by Miklos Racz on the topic of "Basic models and questions in statistical network analysis" (we have also arxived the corresponding notes http://arxiv.org/abs/1609.03511).

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Last part of the poly time convex bandit lecture notes.

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Part 2 of the mini-course on the poly-time convex bandit algorithm.

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First part of lecture notes on our recent poly-time solution to bandit convex optimization.

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I'm super excited to share our newest (and last) work on bandit convex optimization: http://arxiv.org/abs/1607.03084 .

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Notes on least-squares, part II: summary of the Bach-Moulines analysis of constant step-size SGD for least-squares.

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