Follow
Clayton Scott
Clayton Scott
Professor of Electrical Engineering and Computer Science, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Generalizing from several related classification tasks to a new unlabeled sample
G Blanchard, G Lee, C Scott
Advances in neural information processing systems 24, 2011
5382011
Robust kernel density estimation
JS Kim, CD Scott
The Journal of Machine Learning Research 13 (1), 2529-2565, 2012
4882012
Semi-supervised novelty detection
G Blanchard, G Lee, C Scott
The Journal of Machine Learning Research 11, 2973-3009, 2010
3352010
Domain generalization by marginal transfer learning
G Blanchard, AA Deshmukh, U Dogan, G Lee, C Scott
Journal of machine learning research 22 (2), 1-55, 2021
3032021
Classification with asymmetric label noise: Consistency and maximal denoising
C Scott, G Blanchard, G Handy
Conference on learning theory, 489-511, 2013
2502013
Mixture proportion estimation via kernel embeddings of distributions
H Ramaswamy, C Scott, A Tewari
International conference on machine learning, 2052-2060, 2016
2322016
A Neyman-Pearson approach to statistical learning
C Scott, R Nowak
IEEE Transactions on Information Theory 51 (11), 3806-3819, 2005
2122005
A rate of convergence for mixture proportion estimation, with application to learning from noisy labels
C Scott
Artificial Intelligence and Statistics, 838-846, 2015
1932015
Learning minimum volume sets
C Scott, R Nowak
Advances in neural information processing systems 18, 2005
1872005
EM algorithms for multivariate Gaussian mixture models with truncated and censored data
G Lee, C Scott
Computational Statistics & Data Analysis 56 (9), 2816-2829, 2012
1782012
Minimax-optimal classification with dyadic decision trees
C Scott, RD Nowak
IEEE transactions on information theory 52 (4), 1335-1353, 2006
1562006
Mean values of Dedekind sums
JB Conrey, E Fransen, R Klein, C Scott
arXiv preprint math/9410212, 1994
1391994
Robust contour matching via the order-preserving assignment problem
C Scott, R Nowak
IEEE Transactions on Image Processing 15 (7), 1831-1838, 2006
1192006
Performance measures for Neyman–Pearson classification
C Scott
IEEE Transactions on Information Theory 53 (8), 2852-2863, 2007
1092007
Calibrated asymmetric surrogate losses
C Scott
1082012
Multi-task learning for contextual bandits
AA Deshmukh, U Dogan, C Scott
Advances in neural information processing systems 30, 2017
1032017
Adaptive hausdorff estimation of density level sets
A Singh, C Scott, R Nowak
972009
Distributed spatial anomaly detection
P Chhabra, C Scott, ED Kolaczyk, M Crovella
IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 1705-1713, 2008
922008
Novelty detection: Unlabeled data definitely help
C Scott, G Blanchard
Artificial intelligence and statistics, 464-471, 2009
902009
Tuning support vector machines for minimax and Neyman-Pearson classification
MA Davenport, RG Baraniuk, CD Scott
IEEE transactions on pattern analysis and machine intelligence 32 (10), 1888 …, 2010
872010
The system can't perform the operation now. Try again later.
Articles 1–20