| HodgeRank on random graphs for subjective video quality assessment Q Xu, Q Huang, T Jiang, B Yan, W Lin, Y Yao IEEE Transactions on Multimedia 14 (3), 844-857, 2012 | 90 | 2012 |
| Covariate regularized community detection in sparse graphs B Yan, P Sarkar Journal of the American Statistical Association 116 (534), 734-745, 2021 | 86* | 2021 |
| Convergence of gradient EM on multi-component mixture of Gaussians B Yan, M Yin, P Sarkar Advances in Neural Information Processing Systems 30, 2017 | 72* | 2017 |
| Random partial paired comparison for subjective video quality assessment via HodgeRank Q Xu, T Jiang, Y Yao, Q Huang, B Yan, W Lin Proceedings of the 19th ACM international conference on Multimedia, 393-402, 2011 | 52 | 2011 |
| Exact recovery of number of blocks in blockmodels B Yan, P Sarkar, X Cheng arXiv preprint arXiv:1705.08580, 2017 | 46* | 2017 |
| Binary classification with karmic, threshold-quasi-concave metrics B Yan, S Koyejo, K Zhong, P Ravikumar International Conference on Machine Learning, 5531-5540, 2018 | 35 | 2018 |
| Mean field for the stochastic blockmodel: Optimization landscape and convergence issues SS Mukherjee, P Sarkar, YX Wang, B Yan Advances in neural information processing systems 31, 2018 | 29 | 2018 |
| On robustness of kernel clustering B Yan, P Sarkar Advances in Neural Information Processing Systems 29, 2016 | 29 | 2016 |
| Fast classification with binary prototypes K Zhong, R Guo, S Kumar, B Yan, D Simcha, I Dhillon Artificial intelligence and statistics, 1255-1263, 2017 | 21 | 2017 |
| Analysis of the pattern of potential woody cover in Texas savanna X Yang, KA Crews, B Yan International journal of applied earth observation and geoinformation 52 …, 2016 | 18 | 2016 |
| Probabilistic best subset selection via gradient-based optimization M Yin, N Ho, B Yan, X Qian, M Zhou arXiv preprint arXiv:2006.06448, 2020 | 12 | 2020 |
| Consistent classification with generalized metrics X Wang, R Li, B Yan, O Koyejo arXiv preprint arXiv:1908.09057, 2019 | 11 | 2019 |
| Exact tests for stochastic block models V Karwa, D Pati, S Petrovic, L Solus, N Alexeev, M Raic, D Wilburne, ... arXiv preprint arXiv:1612.06040, 2016 | 11 | 2016 |
| Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels V Karwa, D Pati, S Petrović, L Solus, N Alexeev, M Raič, D Wilburne, ... Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 9 | 2024 |
| Big Data M Zhang, MHJ Sidik Machine Learning at American Airlines Tech. Ops. Proceedings of Agifors …, 2018 | 6 | 2018 |
| Smooth image-on-scalar regression for brain mapping B Yan, Y Liu arXiv preprint arXiv:1703.05264 1068, 2017 | 6* | 2017 |
| Theoretical analysis for convex and non-convex clustering algorithms B Yan The University of Texas at Austin, 2018 | 3 | 2018 |
| Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels V Karwa, D Pati, S Petrović, L Solus, N Alexeev, M Raič, D Wilburne, ... arXiv preprint arXiv:1612.06040, 2016 | 3 | 2016 |
| Graph-fused multivariate regression via total variation regularization Y Liu, B Yan, K Merikangas, H Shou arXiv preprint arXiv:2001.04968, 2020 | 1 | 2020 |
| HodgeRank on random graphs for subjective video quality assessment W Lin, Q Xu, Q Huang, T Jiang, B Yan, Y Yao | 1 | 2012 |
Purnamrita SarkarAssociate Professor, Statistics and Data Sciences, University of Texas at AustinPreverjeni e-poštni naslov na austin.utexas.edu
