AFLB/papers

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Recently Seen on Arxiv

STOC 2010

Add papers here that you found interesting (and link to full version if available)

  • Efficiently Learning Mixtures of Two Gaussians. Adam Tauman Kalai (Microsoft), Ankur Moitra (MIT), and Gregory Valiant (UC Berkeley)
  • Measuring Independence of Datasets. Vladimir Braverman and Rafail Ostrovsky (UCLA)
  • On the Geometry of Differential Privacy. Moritz Hardt (Princeton University) and Kunal Talwar (Microsoft Research)
  • Weighted Geometric Set Cover via Quasi-Uniform Sampling. Kasturi Varadarajan (University of Iowa)
  • A Sparse Johnson-Lindenstrauss Transform. Anirban Dasgupta and Ravi Kumar and Tamas Sarlos (Yahoo! Research)

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