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Sasho Nikolov

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Simons Institute Live StreamData Privacy: Foundations and Applications Boot Camp2019-01-28
Covers concrete algorithms and bounds for answering counting (linear) queries under differential privacy: the Gaussian noise mechanism adds iid Gaussian scaled…
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Algorithms for Answering Linear Queries, Part IIData Privacy: Foundations and Applications Boot Camp2019-01-28
Adds Gaussian noise to query answers and then projects back onto the feasible set of answers so noisy outputs become consistent; this Gaussian noise +…
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Algorithms for Answering Linear Queries, Part IIIData Privacy: Foundations and Applications Boot Camp2019-01-28
Presents a scalable variant of the matrix mechanism that replaces a global semidefinite program with local gradient optimization over a parameterized family of…
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Discrepancy and Approximation AlgorithmsDiscrete Optimization via Continuous Relaxation2017-09-11
Shows that linear discrepancy (worst-case rounding error from fractional LP solutions) is bounded by hereditary discrepancy and that this yields concrete…
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