James Sharpnack
James Sharpnack
UC Davis Statistics Department
Adresse e-mail validée de ucdavis.edu - Page d'accueil
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Trend filtering on graphs
YX Wang, J Sharpnack, A Smola, R Tibshirani
Artificial Intelligence and Statistics, 1042-1050, 2015
Sparsistency of the edge lasso over graphs
J Sharpnack, A Singh, A Rinaldo
Artificial Intelligence and Statistics, 1028-1036, 2012
Changepoint detection over graphs with the spectral scan statistic
J Sharpnack, A Singh, A Rinaldo
Artificial Intelligence and Statistics, 545-553, 2013
Near-optimal anomaly detection in graphs using lovasz extended scan statistic
J Sharpnack, A Krishnamurthy, A Singh
arXiv preprint arXiv:1312.3291, 2013
The DFS Fused Lasso: Linear-Time Denoising over General Graphs.
OHM Padilla, J Sharpnack, JG Scott, RJ Tibshirani
J. Mach. Learn. Res. 18, 176:1-176:36, 2017
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 30, 2017
Detecting activations over graphs using spanning tree wavelet bases
J Sharpnack, A Singh, A Krishnamurthy
Artificial intelligence and statistics, 536-544, 2013
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
Approximate Recovery in Changepoint Problems, from Estimation Error Rates
K Lin, J Sharpnack, A Rinaldo, RJ Tibshirani
arXiv preprint arXiv:1606.06746, 2016
Exact asymptotics for the scan statistic and fast alternatives
J Sharpnack, E Arias-Castro
Electronic Journal of Statistics 10 (2), 2641-2684, 2016
Sql-rank: A listwise approach to collaborative ranking
L Wu, CJ Hsieh, J Sharpnack
International Conference on Machine Learning, 5315-5324, 2018
SSE-PT: Sequential recommendation via personalized transformer
L Wu, S Li, CJ Hsieh, J Sharpnack
Fourteenth ACM Conference on Recommender Systems, 328-337, 2020
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
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 30, 2017
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
Identifying graph-structured activation patterns in networks.
J Sharpnack, A Singh
NIPS, 2137-2145, 2010
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
Variance function estimation in high-dimensions
M Kolar, J Sharpnack
arXiv preprint arXiv:1205.4770, 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
Estimating graphlet statistics via lifting
K Paramonov, D Shemetov, J Sharpnack
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
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