Eric D. Kolaczyk

50 papers A* 6Misc 5Journal 32Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accounting for edge uncertainty in stochastic actor-oriented models for dynamic network analysis. Netw. Sci. Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk
2025	J	`jnl`	High-Dimensional Privacy-Utility Dynamics of Noisy Stochastic Gradient Descent on Least Squares. CoRR Shurong Lin, Eric D. Kolaczyk, Adam Smith, Elliot Paquette
2025	J	`jnl`	Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors. J. Comput. Graph. Stat. Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk
2024	J	`jnl`	Stochastic gradient descent-based inference for dynamic network models with attractors. CoRR Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk
2023	J	`jnl`	Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling. CoRR Shurong Lin, Mark Bun, Marco Gaboardi, Eric D. Kolaczyk, Adam Smith
2023	J	`jnl`	Differentially Private Linear Regression with Linked Data. CoRR Shurong Lin, Elliot Paquette, Eric D. Kolaczyk
2023	J	`jnl`	Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. PLoS Comput. Biol. Xiaojing Zhu, Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk
2023	J	`jnl`	Estimation of the Branching Factor in Noisy Networks. IEEE Trans. Netw. Sci. Eng. Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk
2023	—	`conf`	Modeling Narrative Revelation. CHR Andrew Piper, Hao Xu, Eric D. Kolaczyk
2022	J	`jnl`	Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties. PLoS Comput. Biol. Zhenwei Zhou, Eric D. Kolaczyk, Robin N. Thompson, Laura F. White
2021	—	`conf`	Network Recovery from Unlabeled Noisy Samples. ACSCC Nathaniel Josephs, Wenrui Li, Eric D. Kolaczyk
2021	J	`jnl`	Sensor-based localization of epidemic sources on human mobility networks. PLoS Comput. Biol. Jun Li, Juliane Manitz, Enrico Bertuzzo, Eric D. Kolaczyk
2019	J	`jnl`	A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience. Netw. Sci. Heather Shappell, Yorghos Tripodis, Ronald J. Killiany, Eric D. Kolaczyk
2018	J	`jnl`	Approximation of the difference of two Poisson-like counts by Skellam. J. Appl. Probab. Han Liang Gan, Eric D. Kolaczyk
2018	—	`ch.`	Statistical Research in Networks: Looking Forward. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Eric D. Kolaczyk
2017	Misc	`conf`	Estimation of vertex degrees in a sampled network. ACSSC Apratim Ganguly, Eric D. Kolaczyk
2017	Misc	`conf`	Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. ACSSC Xinyu Kang, Piotr Fryzlewicz, Catherine Jean Chu, Mark A. Kramer, Eric D. Kolaczyk
2017	J	`jnl`	On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks. J. Mach. Learn. Res. Prakash Balachandran, Eric D. Kolaczyk, Weston D. Viles
2015	J	`jnl`	Editorial: Complexity and emergence in brain network analyses. Frontiers Comput. Neurosci. Qawi K. Telesford, Sean L. Simpson, Eric D. Kolaczyk
2014	J	`jnl`	Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets. BMC Syst. Biol. Lisa M. Christadore, Lisa Pham, Eric D. Kolaczyk, Scott E. Schaus
2014	Misc	`conf`	Online ratings: Convergence towards a positive perspective? ICASSP YaoNan Zhang, Theodoros Lappas, Mark Crovella, Eric D. Kolaczyk
2014	—	`ch.`	Statistical Research in Networks - Looking Forward. Encyclopedia of Social Network Analysis and Mining Eric D. Kolaczyk
2013	J	`jnl`	A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data. IEEE Trans. Inf. Theory Qi Ding, Eric D. Kolaczyk
2013	—	`conf`	Multiscale gene sets from protein interaction networks. GlobalSIP Shu Yang, Lisa Pham, Lisa M. Christadore, Scott E. Schaus, Eric D. Kolaczyk
2013	J	`jnl`	Network-guided sparse regression modeling for detection of gene-by-gene interactions. Bioinform. Chen Lu, Jeanne Latourelle, George T. O'Connor, Josée Dupuis, Eric D. Kolaczyk
2012	A*	`conf`	Intrusion as (anti)social communication: characterization and detection. KDD Qi Ding, Natallia Katenka, Paul Barford, Eric D. Kolaczyk, Mark Crovella
2011	J	`jnl`	Multi-Attribute Networks and the Impact of Partial Information on Inference and Characterization CoRR Natallia Katenka, Eric D. Kolaczyk
2010	J	`jnl`	Complexity-penalized estimation of minimum volume sets for dependent data. J. Multivar. Anal. J. Di, Eric D. Kolaczyk
2010	J	`jnl`	On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference. BMC Bioinform. Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Kolaczyk
2010	J	`jnl`	Target detection via network filtering. IEEE Trans. Inf. Theory Shu Yang, Eric D. Kolaczyk
2009	J	`jnl`	Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification. Knowl. Inf. Syst. Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal
2009	J	`jnl`	Group betweenness and co-betweenness: Inter-related notions of coalition centrality. Soc. Networks Eric D. Kolaczyk, David B. Chua, Marc Barthelemy
2008	—	`conf`	Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction. BIBM Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, David Gold, Eric D. Kolaczyk
2008	A*	`conf`	Distributed Spatial Anomaly Detection. INFOCOM Parminder Chhabra, Clayton D. Scott, Eric D. Kolaczyk, Mark Crovella
2008	J	`jnl`	Integration of relational and hierarchical network information for protein function prediction. BMC Bioinform. Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, Eric D. Kolaczyk
2008	J	`jnl`	Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia. Bioinform. Elissa J. Cosgrove, Yingchun Zhou, Timothy S. Gardner, Eric D. Kolaczyk
2007	J	`jnl`	Co-Betweenness: A Pairwise Notion of Centrality CoRR Eric D. Kolaczyk, David B. Chua, Marc Barthelemy
2006	—	`conf`	Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract. ICDM Workshops Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal
2006	J	`jnl`	Network Kriging. IEEE J. Sel. Areas Commun. David B. Chua, Eric D. Kolaczyk, Mark Crovella
2005	A*	`conf`	A statistical framework for efficient monitoring of end-to-end network properties. SIGMETRICS David B. Chua, Eric D. Kolaczyk, Mark Crovella
2005	A*	`conf`	Efficient monitoring of end-to-end network properties. INFOCOM David B. Chua, Eric D. Kolaczyk, Mark Crovella
2005	J	`jnl`	Network Inference from TraceRoute Measurements: Internet Topology 'Species' CoRR Fabien Viger, Alain Barrat, Luca Dall'Asta, Cun-Hui Zhang, Eric D. Kolaczyk
2005	J	`jnl`	Network Kriging CoRR David B. Chua, Eric D. Kolaczyk, Mark Crovella
2004	J	`jnl`	A Statistical Framework for Efficient Monitoring of End-to-End Network Properties CoRR David B. Chua, Eric D. Kolaczyk, Mark Crovella
2004	A*	`conf`	Structural analysis of network traffic flows. SIGMETRICS Anukool Lakhina, Konstantina Papagiannaki, Mark Crovella, Christophe Diot, Eric D. Kolaczyk, Nina Taft
2003	A*	`conf`	Graph Wavelets for Spatial Traffic Analysis. INFOCOM Mark Crovella, Eric D. Kolaczyk
2003	J	`jnl`	On the use of prior and posterior information in the subpixel proportion problem. IEEE Trans. Geosci. Remote. Sens. Eric D. Kolaczyk
2000	J	`jnl`	A statistical multiscale framework for Poisson inverse problems. IEEE Trans. Inf. Theory Robert D. Nowak, Eric D. Kolaczyk
2000	Misc	`conf`	Bayesian multiscale tomographic reconstruction. ICASSP Robert D. Nowak, Eric D. Kolaczyk, David S. Lalush, Benjamin M. W. Tsui
1999	Misc	`conf`	A Bayesian multiscale framework for Poisson inverse problems. ICASSP Robert D. Nowak, Eric D. Kolaczyk