Mark Bun
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| title | conference | date |
|---|---|---|
| Private Boosting and Noise-tolerant Learning | Privacy and the Science of Data Analysis 2019 | 2019-04-08 |
Constructs a private booster that enforces Sigma-smooth distributions by doing multiplicative-weights updates on an unnormalized measure and then… | ||
| Approximate Degree and Quantum Query Lower Bounds via Dual Polynomials | Boolean Devices 2018 | 2018-09-10 |
Develops concrete lower bounds for approximate degree and quantum query complexity using linear-program duality and symmetrization, proving block composition… | ||
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