Risultati della ricerca - Sheldon, Daniel

Private Regression via Data-Dependent Sufficient Statistic Perturbation di Ferrando, Cecilia, Sheldon, Daniel

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Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models di Lai, Jinlin, Domke, Justin, Sheldon, Daniel

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Active Measurement of Two-Point Correlations di Hamilton, Max, Sheldon, Daniel, Maji, Subhransu

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Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models di Lai, Jinlin, Margossian, Charles C., Sheldon, Daniel R.

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AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data di McKenna, Ryan, Mullins, Brett, Sheldon, Daniel, Miklau, Gerome

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Human-in-the-Loop Visual Re-ID for Population Size Estimation di Perez, Gustavo, Sheldon, Daniel, Van Horn, Grant, Maji, Subhransu

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Active Measurement: Efficient Estimation at Scale di Hamilton, Max, Lai, Jinlin, Zhao, Wenlong, Maji, Subhransu, Sheldon, Daniel

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Private Adaptive Covariance Estimation via Gaussian Graphical Models di Ferrando, Cecilia, Fuentes, Miguel, Mullins, Brett, Musco, Cameron, Sheldon, Daniel

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The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data di Gu, Cheng, Learned-Miller, Erik, Sheldon, Daniel, Gallego, Guillermo, Bideau, Pia

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Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data di Fuentes, Miguel, Mullins, Brett, McKenna, Ryan, Miklau, Gerome, Sheldon, Daniel

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Consensus-Driven Active Model Selection di Kay, Justin, Van Horn, Grant, Maji, Subhransu, Sheldon, Daniel, Beery, Sara

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Efficient and Private Marginal Reconstruction with Local Non-Negativity di Mullins, Brett, Fuentes, Miguel, Xiao, Yingtai, Kifer, Daniel, Musco, Cameron, Sheldon, Daniel

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Fast Private Adaptive Query Answering for Large Data Domains di Fuentes, Miguel, Mullins, Brett, Xiao, Yingtai, Kifer, Daniel, Musco, Cameron, Sheldon, Daniel

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