Stephen E. Fienberg

Publication Activity (10 Years)

Years Active: 2002-2016
Publications (10 Years): 10

Top Topics

Logistic Regression

Kullback Leibler

Top Venues

J. Priv. Confidentiality

Privacy in Statistical Databases

Publications

Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle. J. Mach. Learn. Res. 17 (2016)
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms. CoRR (2016)
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
On-Average KL-Privacy and Its Equivalence to Generalization for Max-Entropy Mechanisms. PSD (2016)
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
A Minimax Theory for Adaptive Data Analysis. CoRR (2016)
Kirstin Early, Stephen E. Fienberg, Jennifer Mankoff
Cost-Effective Feature Selection and Ordering for Personalized Energy Estimates. AAAI Workshop: AI for Smart Grids and Smart Buildings (2016)
Kirstin Early, Stephen E. Fienberg, Jennifer Mankoff
Test time feature ordering with FOCUS: interactive predictions with minimal user burden. UbiComp (2016)
Stephen E. Fienberg
In This Issue. J. Priv. Confidentiality 7 (1) (2015)
Yu-Xiang Wang, Stephen E. Fienberg, Alexander J. Smola
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo. ICML (2015)
Yu-Xiang Wang, Stephen E. Fienberg, Alexander J. Smola
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo. CoRR (2015)
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle. CoRR (2015)
Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle, Stephen E. Fienberg
A Comparison of Blocking Methods for Record Linkage. CoRR (2014)
Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg
β models for random hypergraphs with a given degree sequence. CoRR (2014)
Fei Yu, Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler
Scalable privacy-preserving data sharing methodology for genome-wide association studies. J. Biomed. Informatics 50 (2014)
Rebecca C. Steorts, Rob Hall, Stephen E. Fienberg
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication. AISTATS (2014)
Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle, Stephen E. Fienberg
A Comparison of Blocking Methods for Record Linkage. Privacy in Statistical Databases (2014)
Fei Yu, Michal Rybár, Caroline Uhler, Stephen E. Fienberg
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases. Privacy in Statistical Databases (2014)
Fei Yu, Michal Rybár, Caroline Uhler, Stephen E. Fienberg
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases. CoRR (2014)
Stephen E. Fienberg
Is the Privacy of Network Data an Oxymoron? J. Priv. Confidentiality 4 (2) (2013)
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality 5 (1) (2013)
Divyan Munirathnam Konidala, Robert H. Deng, Yingjiu Li, Hoong Chuin Lau, Stephen E. Fienberg
Anonymous Authentication of Visitors for Mobile Crowd Sensing at Amusement Parks. ISPEC (2013)
Seungil Huh, Stephen E. Fienberg
Discriminative Topic Modeling Based on Manifold Learning. ACM Trans. Knowl. Discov. Data 5 (4) (2012)
Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications. J. Priv. Confidentiality 4 (1) (2012)
Yuval Nardi, Stephen E. Fienberg, Robert J. Hall
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources. J. Priv. Confidentiality 4 (1) (2012)
Stephen E. Fienberg, Jiashun Jin
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings. J. Priv. Confidentiality 4 (1) (2012)
Rob Hall, Stephen E. Fienberg
Valid Statistical Inference on Automatically Matched Files. Privacy in Statistical Databases (2012)
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
Privacy-Preserving Data Sharing for Genome-Wide Association Studies CoRR (2012)
Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler
Privacy Preserving GWAS Data Sharing. ICDM Workshops (2011)
Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg
Maximum Likelihood Estimation in Network Models CoRR (2011)
Stephen E. Fienberg
In This Issue. J. Priv. Confidentiality 2 (2) (2011)
Rob Hall, Yuval Nardi, Stephen E. Fienberg
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources CoRR (2011)
Stephen E. Fienberg
In This Issue. J. Priv. Confidentiality 3 (2) (2011)
Stephen E. Fienberg
Editorial: In This Issue. J. Priv. Confidentiality 3 (1) (2011)
Stephen E. Fienberg
Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records. J. Priv. Confidentiality 3 (2) (2011)
Stephen E. Fienberg
The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses. J. Priv. Confidentiality 1 (2) (2010)
Stephen E. Fienberg
Editorial: In This Issue. J. Priv. Confidentiality 2 (1) (2010)
Seungil Huh, Stephen E. Fienberg
Discriminative topic modeling based on manifold learning. KDD (2010)
Di Liu, Daniel Percival, Stephen E. Fienberg
User Interest and Interaction Structure in Online Forums. ICWSM (2010)
Rob Hall, Stephen E. Fienberg
Privacy-Preserving Record Linkage. Privacy in Statistical Databases (2010)
Stephen E. Fienberg, Kenneth Prewitt
Save your census. Nat. 466 (7310) (2010)
Stephen E. Fienberg, Alessandro Rinaldo, Xiaolin Yang
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables. Privacy in Statistical Databases (2010)
Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi
A survey of statistical network models. CoRR (2009)
Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi
A Survey of Statistical Network Models. Found. Trends Mach. Learn. 2 (2) (2009)
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing
Mixed Membership Stochastic Blockmodels. NIPS (2008)
Stephen E. Fienberg, Yuval Nardi, Aleksandra B. Slavkovic
Valid Statistical Analysis for Logistic Regression with Multiple Sources. ISIPS (2008)
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing
Mixed Membership Stochastic Blockmodels. J. Mach. Learn. Res. 9 (2008)
Daniel Ting, Stephen E. Fienberg, Mario Trottini
Random orthogonal matrix masking methodology for microdata release. Int. J. Inf. Comput. Secur. 2 (1) (2008)
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing
Mixed membership stochastic blockmodels. CoRR (2007)
Nicholas Eriksson, Stephen E. Fienberg, Alessandro Rinaldo, Seth Sullivant
Polyhedral conditions for the nonexistence of the MLE for hierarchical log-linear models. J. Symb. Comput. 41 (2) (2006)
Stephen E. Fienberg, William J. Fulp, Aleksandra B. Slavkovic, Tracey A. Wrobel
"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases. Privacy in Statistical Databases (2006)
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing
Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis. SNA@ICML (2006)
Stephen E. Fienberg, Aleksandra B. Slavkovic
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules. Data Min. Knowl. Discov. 11 (2) (2005)
Edoardo M. Airoldi, David M. Blei, Eric P. Xing, Stephen E. Fienberg
A latent mixed membership model for relational data. LinkKDD (2005)
Elena A. Erosheva, Stephen E. Fienberg
Bayesian Mixed Membership Models for Soft Clustering and Classification. GfKl (2004)
Mario Trottini, Stephen E. Fienberg, Udi E. Makov, Michael M. Meyer
Additive noise and multiplicative bias as disclosure limitation techniques for continuous microdata: A simulation study. J. Comput. Methods Sci. Eng. 4 (1-2) (2004)
Stephen E. Fienberg, Julie McIntyre
Data Swapping: Variations on a Theme by Dalenius and Reiss. Privacy in Statistical Databases (2004)
Aleksandra B. Slavkovic, Stephen E. Fienberg
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. Privacy in Statistical Databases (2004)
William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb (2003)
Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg
Adaptive Name Matching in Information Integration. IEEE Intell. Syst. 18 (5) (2003)
Mario Trottini, Stephen E. Fienberg
Modelling User Uncertainty for Disclosure Risk and Data Utility. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10 (5) (2002)
Adrian Dobra, Alan F. Karr, Ashish P. Sanil, Stephen E. Fienberg
Software Systems for Tabular Data Releases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10 (5) (2002)