| Trend filtering on graphs YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani The Journal of Machine Learning Research 17 (1), 3651-3691, 2016 | 181 | 2016 |
| Sparsistency of the edge lasso over graphs J Sharpnack, A Singh, A Rinaldo Artificial Intelligence and Statistics, 1028-1036, 2012 | 75 | 2012 |
| Changepoint detection over graphs with the spectral scan statistic J Sharpnack, A Singh, A Rinaldo Artificial Intelligence and Statistics, 545-553, 2013 | 61 | 2013 |
| Near-optimal anomaly detection in graphs using lovasz extended scan statistic JL Sharpnack, A Krishnamurthy, A Singh Advances in Neural Information Processing Systems, 1959-1967, 2013 | 53 | 2013 |
| Detecting activations over graphs using spanning tree wavelet bases J Sharpnack, A Singh, A Krishnamurthy Artificial Intelligence and Statistics, 536-544, 2013 | 40 | 2013 |
| A sharp error analysis for the fused lasso, with application to approximate changepoint screening K Lin, JL Sharpnack, A Rinaldo, RJ Tibshirani Advances in neural information processing systems, 6884-6893, 2017 | 39 | 2017 |
| The DFS fused lasso: Linear-time denoising over general graphs OHM Padilla, J Sharpnack, JG Scott The Journal of Machine Learning Research 18 (1), 6410-6445, 2017 | 32 | 2017 |
| Detecting anomalous activity on networks with the graph Fourier scan statistic J Sharpnack, A Rinaldo, A Singh IEEE Transactions on Signal Processing 64 (2), 364-379, 2015 | 25 | 2015 |
| Approximate Recovery in Changepoint Problems, from Estimation Error Rates K Lin, J Sharpnack, A Rinaldo, RJ Tibshirani arXiv preprint arXiv:1606.06746, 2016 | 23 | 2016 |
| Exact asymptotics for the scan statistic and fast alternatives J Sharpnack, E Arias-Castro Electronic Journal of Statistics 10 (2), 2641-2684, 2016 | 21 | 2016 |
| Recovering graph-structured activations using adaptive compressive measurements A Krishnamuthy, J Sharpnack, A Singh 2013 Asilomar Conference on Signals, Systems and Computers, 765-769, 2013 | 21 | 2013 |
| Sql-rank: A listwise approach to collaborative ranking L Wu, CJ Hsieh, J Sharpnack arXiv preprint arXiv:1803.00114, 2018 | 17 | 2018 |
| Identifying graph-structured activation patterns in networks J Sharpnack, A Singh Advances in Neural Information Processing Systems, 2137-2145, 2010 | 17 | 2010 |
| Large-scale collaborative ranking in near-linear time L Wu, CJ Hsieh, J Sharpnack Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 16 | 2017 |
| Higher-order total variation classes on grids: Minimax theory and trend filtering methods V Sadhanala, YX Wang, JL Sharpnack, RJ Tibshirani Advances in Neural Information Processing Systems, 5800-5810, 2017 | 12 | 2017 |
| Variance function estimation in high-dimensions M Kolar, J Sharpnack arXiv preprint arXiv:1205.4770, 2012 | 11 | 2012 |
| Adaptive nonparametric regression with the K-nearest neighbour fused lasso OH Madrid Padilla, J Sharpnack, Y Chen, DM Witten Biometrika 107 (2), 293-310, 2020 | 7* | 2020 |
| Psychological stress of bicycling with traffic: examining heart rate variability of bicyclists in natural urban environments DT Fitch, J Sharpnack, SL Handy Transportation research part F: traffic psychology and behaviour 70, 81-97, 2020 | 4 | 2020 |
| Estimating Graphlet Statistics via Lifting K Paramonov, D Shemetov, J Sharpnack Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 4 | 2019 |
| Proteogenomic analysis of surgically resected lung adenocarcinoma MF Sharpnack, N Ranbaduge, A Srivastava, F Cerciello, SG Codreanu, ... Journal of Thoracic Oncology 13 (10), 1519-1529, 2018 | 4 | 2018 |
Ryan TibshiraniAssociate Professor of Statistics, and Machine Learning, Carnegie Mellon UniversityVerified email at cmu.edu
