James Sharpnack
James Sharpnack
UC Davis Statistics Department
確認したメール アドレス: ucdavis.edu - ホームページ
タイトル
引用先
引用先
Trend filtering on graphs
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
The Journal of Machine Learning Research 17 (1), 3651-3691, 2016
1552016
Sparsistency of the edge lasso over graphs
J Sharpnack, A Singh, A Rinaldo
Artificial Intelligence and Statistics, 1028-1036, 2012
692012
Changepoint detection over graphs with the spectral scan statistic
J Sharpnack, A Singh, A Rinaldo
Artificial Intelligence and Statistics, 545-553, 2013
592013
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
502013
Detecting activations over graphs using spanning tree wavelet bases
J Sharpnack, A Singh, A Krishnamurthy
Artificial Intelligence and Statistics, 536-544, 2013
372013
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
292017
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
272017
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
212013
Approximate Recovery in Changepoint Problems, from Estimation Error Rates
K Lin, J Sharpnack, A Rinaldo, RJ Tibshirani
arXiv preprint arXiv:1606.06746, 2016
192016
Exact asymptotics for the scan statistic and fast alternatives
J Sharpnack, E Arias-Castro
Electronic Journal of Statistics 10 (2), 2641-2684, 2016
192016
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
192015
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
152017
Identifying graph-structured activation patterns in networks
J Sharpnack, A Singh
Advances in Neural Information Processing Systems, 2137-2145, 2010
152010
Sql-rank: A listwise approach to collaborative ranking
L Wu, CJ Hsieh, J Sharpnack
arXiv preprint arXiv:1803.00114, 2018
142018
Variance function estimation in high-dimensions
M Kolar, J Sharpnack
arXiv preprint arXiv:1205.4770, 2012
112012
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
92017
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
5*2020
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
42018
Stochastic shared embeddings: Data-driven regularization of embedding layers
L Wu, S Li, CJ Hsieh, JL Sharpnack
Advances in Neural Information Processing Systems, 24-34, 2019
32019
Learning Patterns for Detection with Multiscale Scan Statistics
J Sharpnack
arXiv preprint arXiv:1802.06054, 2018
32018
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