Pavel N. Krivitsky

16 papers C 3Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems.
CoRR
Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
2025 J jnl
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems.
Expert Syst. Appl.
Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
2023 J jnl
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models.
J. Stat. Softw.
Pavel N. Krivitsky, David R. Hunter, Martina Morris, Chad Klumb
2022 J jnl
Impact of survey design on estimation of exponential-family random graph models from egocentrically-sampled data.
Soc. Networks
Pavel N. Krivitsky, Martina Morris, Michal Bojanowski
2022 J jnl
Modeling Tie Duration in ERGM-Based Dynamic Network Models.
CoRR
Pavel N. Krivitsky
2022 J jnl
Revisiting Bayesian Autoencoders With MCMC.
IEEE Access
Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky
2021 J jnl
Bayesian Graph Convolutional Neural Networks via Tempered MCMC.
IEEE Access
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, Pavel N. Krivitsky
2021 J jnl
Bayesian graph convolutional neural networks via tempered MCMC.
CoRR
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, Pavel N. Krivitsky
2021 J jnl
Revisiting Bayesian Autoencoders with MCMC.
CoRR
Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky
2018 C conf
Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme.
PSD
Yue Ma, Yan-Xia Lin, Pavel N. Krivitsky, Bradley Wakefield
2018 C conf
Reviewing the Methods of Estimating the Density Function Based on Masked Data.
PSD
Yan-Xia Lin, Pavel N. Krivitsky
2017 J jnl
Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models.
Comput. Stat. Data Anal.
Pavel N. Krivitsky
2015 J jnl
Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models.
CoRR
Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic
2014 C conf
Differentially Private Exponential Random Graphs.
Privacy in Statistical Databases
Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky
2014 J jnl
Differentially Private Exponential Random Graphs.
CoRR
Vishesh Karwa, Aleksandra B. Slavkovic, Pavel N. Krivitsky
2009 J jnl
Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models.
Soc. Networks
Pavel N. Krivitsky, Mark S. Handcock, Adrian E. Raftery, Peter D. Hoff