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ORCIDStephen E. Fienberg
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2010 – 2019
- 2018
[r8]Stephen E. Fienberg, Jiashun Jin:
Matrix Masking. Encyclopedia of Database Systems (2nd ed.) 2018- [r7]Stephen E. Fienberg, Jiashun Jin:
Statistical Disclosure Limitation for~Data~Access. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [j25]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: 183:1-183:40 (2016) - [c23]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 - [c22]Kirstin Early, Stephen E. Fienberg, Jennifer Mankoff
:
Test time feature ordering with FOCUS: interactive predictions with minimal user burden. UbiComp 2016: 992-1003 - [c21]Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg:
On-Average KL-Privacy and Its Equivalence to Generalization for Max-Entropy Mechanisms. PSD 2016: 121-134 - [i12]Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg:
A Minimax Theory for Adaptive Data Analysis. CoRR abs/1602.04287 (2016) - [i11]Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg:
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms. CoRR abs/1605.02277 (2016) - 2015
- [j24]Stephen E. Fienberg:
In This Issue. J. Priv. Confidentiality 7(1) (2015) - [c20]Yu-Xiang Wang, Stephen E. Fienberg, Alexander J. Smola:
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo. ICML 2015: 2493-2502 - [i10]Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg:
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle. CoRR abs/1502.06309 (2015) - [i9]Yu-Xiang Wang, Stephen E. Fienberg, Alexander J. Smola:
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo. CoRR abs/1502.07645 (2015) - 2014
- [j23]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: 133-141 (2014) - [c19]Rebecca C. Steorts, Rob Hall, Stephen E. Fienberg:
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication. AISTATS 2014: 922-930 - [c18]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: 170-184 - [c17]Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle, Stephen E. Fienberg:
A Comparison of Blocking Methods for Record Linkage. Privacy in Statistical Databases 2014: 253-268 - [e2]Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, Stephen E. Fienberg:
Handbook of Mixed Membership Models and Their Applications. Chapman and Hall/CRC 2014, ISBN 978-1-4665-0408-0 [contents] - [r6]Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, Stephen E. Fienberg:
Introduction to Mixed Membership Models and Methods. Handbook of Mixed Membership Models and Their Applications 2014: 3-13 - [i8]Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg:
β models for random hypergraphs with a given degree sequence. CoRR abs/1407.1004 (2014) - [i7]Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle, Stephen E. Fienberg:
A Comparison of Blocking Methods for Record Linkage. CoRR abs/1407.3191 (2014) - [i6]Fei Yu, Michal Rybár, Caroline Uhler, Stephen E. Fienberg:
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases. CoRR abs/1407.8067 (2014) - 2013
- [j22]Stephen E. Fienberg:
Is the Privacy of Network Data an Oxymoron? J. Priv. Confidentiality 4(2) (2013) - [j21]Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg:
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. J. Priv. Confidentiality 5(1) (2013) - [c16]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: 174-188 - 2012
- [j20]Stephen E. Fienberg, Jiashun Jin:
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings. J. Priv. Confidentiality 4(1) (2012) - [j19]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) - [j18]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) - [j17]Seungil Huh, Stephen E. Fienberg:
Discriminative Topic Modeling Based on Manifold Learning. ACM Trans. Knowl. Discov. Data 5(4): 20:1-20:25 (2012) - [c15]Rob Hall, Stephen E. Fienberg:
Valid Statistical Inference on Automatically Matched Files. Privacy in Statistical Databases 2012: 131-142 - [i5]Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg:
Privacy-Preserving Data Sharing for Genome-Wide Association Studies. CoRR abs/1205.0739 (2012) - 2011
- [j16]Stephen E. Fienberg:
In This Issue. J. Priv. Confidentiality 2(2) (2011) - [j15]Stephen E. Fienberg:
Editorial: In This Issue. J. Priv. Confidentiality 3(1) (2011) - [j14]Stephen E. Fienberg:
In This Issue. J. Priv. Confidentiality 3(2) (2011) - [j13]Stephen E. Fienberg:
Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records. J. Priv. Confidentiality 3(2) (2011) - [c14]Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler:
Privacy Preserving GWAS Data Sharing. ICDM Workshops 2011: 628-635 - [r5]Stephen E. Fienberg, Aleksandra B. Slavkovic:
Data Privacy and Confidentiality. International Encyclopedia of Statistical Science 2011: 342-345 - [r4]Elena A. Erosheva, Stephen E. Fienberg:
Mixed Membership Models. International Encyclopedia of Statistical Science 2011: 824-826 - [r3]Stephen E. Fienberg, Andrew C. Thomas:
Network Models in Probability and Statistics. International Encyclopedia of Statistical Science 2011: 939-941 - [i4]Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg:
Maximum Likelihood Estimation in Network Models. CoRR abs/1105.6145 (2011) - [i3]Rob Hall, Yuval Nardi, Stephen E. Fienberg:
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources. CoRR abs/1111.7277 (2011) - 2010
- [j12]Stephen E. Fienberg:
The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses. J. Priv. Confidentiality 1(2) (2010) - [j11]Stephen E. Fienberg:
Editorial: In This Issue. J. Priv. Confidentiality 2(1) (2010) - [j10]Stephen E. Fienberg, Kenneth Prewitt:
Save your census. Nat. 466(7310): 1043 (2010) - [c13]Di Liu, Daniel Percival, Stephen E. Fienberg:
User Interest and Interaction Structure in Online Forums. ICWSM 2010 - [c12]Seungil Huh, Stephen E. Fienberg:
Discriminative topic modeling based on manifold learning. KDD 2010: 653-662 - [c11]Stephen E. Fienberg, Alessandro Rinaldo, Xiaolin Yang:
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables. Privacy in Statistical Databases 2010: 187-199 - [c10]Rob Hall, Stephen E. Fienberg:
Privacy-Preserving Record Linkage. Privacy in Statistical Databases 2010: 269-283
2000 – 2009
- 2009
- [j9]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A Survey of Statistical Network Models. Found. Trends Mach. Learn. 2(2): 129-233 (2009) - [r2]Stephen E. Fienberg, Jiashun Jin:
Matrix Masking. Encyclopedia of Database Systems 2009: 1698-1699 - [r1]Stephen E. Fienberg, Jiashun Jin:
Statistical Disclosure Limitation For Data Access. Encyclopedia of Database Systems 2009: 2783-2789 - [i2]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A survey of statistical network models. CoRR abs/0912.5410 (2009) - 2008
- [j8]Daniel Ting, Stephen E. Fienberg, Mario Trottini:
Random orthogonal matrix masking methodology for microdata release. Int. J. Inf. Comput. Secur. 2(1): 86-105 (2008) - [j7]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels. J. Mach. Learn. Res. 9: 1981-2014 (2008) - [c9]Stephen E. Fienberg, Yuval Nardi, Aleksandra B. Slavkovic:
Valid Statistical Analysis for Logistic Regression with Multiple Sources. ISIPS 2008: 82-94 - [c8]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels. NIPS 2008: 33-40 - [p2]Stephen E. Fienberg, Aleksandra B. Slavkovic:
A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries. Privacy-Preserving Data Mining 2008: 291-312 - 2007
- [e1]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng:
Statistical Network Analysis: Models, Issues, and New Directions - ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4503, Springer 2007, ISBN 978-3-540-73132-0 [contents] - [i1]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed membership stochastic blockmodels. CoRR abs/0705.4485 (2007) - 2006
- [j6]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): 222-233 (2006) - [c7]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: 57-74 - [c6]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: 277-290 - 2005
- [j5]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): 155-180 (2005) - [c5]Edoardo M. Airoldi, David M. Blei, Eric P. Xing, Stephen E. Fienberg:
A latent mixed membership model for relational data. LinkKDD 2005: 82-89 - 2004
- [j4]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): 5-16 (2004) - [c4]Elena A. Erosheva, Stephen E. Fienberg:
Bayesian Mixed Membership Models for Soft Clustering and Classification. GfKl 2004: 11-26 - [c3]Stephen E. Fienberg, Julie McIntyre:
Data Swapping: Variations on a Theme by Dalenius and Reiss. Privacy in Statistical Databases 2004: 14-29 - [c2]Aleksandra B. Slavkovic, Stephen E. Fienberg:
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies. Privacy in Statistical Databases 2004: 30-43 - [p1]Adrian Dobra, Stephen E. Fienberg:
How Large Is the WorldWide Web? Web Dynamics 2004: 23-44 - 2003
- [j3]Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg:
Adaptive Name Matching in Information Integration. IEEE Intell. Syst. 18(5): 16-23 (2003) - [c1]William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg:
A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb 2003: 73-78 - 2002
- [j2]Mario Trottini, Stephen E. Fienberg:
Modelling User Uncertainty for Disclosure Risk and Data Utility. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(5): 511-528 (2002) - [j1]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): 529-544 (2002)
Coauthor Index
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