Daniel Sheldon

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Garrett Bernstein

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Publications

2019
[c36]
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Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Linear Regression. NeurIPS 2019: 523-533
[i12]
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  - journals/corr/abs-1910-13153
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Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Linear Regression. CoRR abs/1910.13153 (2019)
2018
[c33]
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Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Inference for Exponential Families. NeurIPS 2018: 2924-2934
[i9]
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  - journals/corr/abs-1809-02188
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Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Inference for Exponential Families. CoRR abs/1809.02188 (2018)
2017
[c28]
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  - conf/icml/BernsteinMSSHM17
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Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau:
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models. ICML 2017: 478-487
[i8]
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Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau:
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models. CoRR abs/1706.04646 (2017)
2016
[c23]
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  - conf/aistats/BernsteinS16
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Garrett Bernstein, Daniel Sheldon:
Consistently Estimating Markov Chains with Noisy Aggregate Data. AISTATS 2016: 1142-1150
[i7]
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Garrett Bernstein, Daniel Sheldon:
Consistently Estimating Markov Chains with Noisy Aggregate Data. CoRR abs/1604.04182 (2016)
2015
[c18]
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  - conf/icml/WinnerBS15
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Kevin Winner, Garrett Bernstein, Daniel Sheldon:
Inference in a Partially Observed Queuing Model with Applications in Ecology. ICML 2015: 2512-2520

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