Computation-Utility-Privacy Tradeoffs in Bayesian Estimation explores Develops efficient algorithms for differentially private Bayesian estimation with theoretical utility guarantees, addressing a gap in existing methods for Gaussian mean estimation and linear regression.. Commercial viability score: 3/10 in Bayesian Estimation.
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