-
1
-
-
85161978168
-
DIFFRAC: A discriminative and flexible framework for clustering
-
Bach, F. and Harchoui, Zaïd. DIFFRAC: a discriminative and flexible framework for clustering. In Adv. NIPS, 2008.
-
(2008)
Adv. NIPS
-
-
Bach, F.1
Harchoui, Z.2
-
3
-
-
80053450397
-
-
arXiv: 1005.3579
-
Chen, X., Kim, S., Lin, Q., Carbonell, J. G., and Xing, E. P. Graph-structured multi-task regression and an efficient optimization method for general fused lasso, 2010. arXiv: 1005.3579.
-
(2010)
Graph-structured Multi-task Regression and An Efficient Optimization Method for General Fused Lasso
-
-
Chen, X.1
Kim, S.2
Lin, Q.3
Carbonell, J.G.4
Xing, E.P.5
-
4
-
-
0004116989
-
-
chapter 26. MIT Press
-
Cormen, T. H., Leiserson, C. E., Rivest, R. L., and Stein, C. Introduction to Algorithms, chapter 26. MIT Press, 2001.
-
(2001)
Introduction to Algorithms
-
-
Cormen, T.H.1
Leiserson, C.E.2
Rivest, R.L.3
Stein, C.4
-
5
-
-
3242708140
-
Least angle regression
-
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R. Least angle regression. Annals of statistics, 32(2):40-99, 2004.
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 40-99
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
7
-
-
45849107328
-
Pathwise coordinate optimization
-
Friedman, J., Hastie, T., Hoefling, H., and Tibshirani, R. Pathwise coordinate optimization. The Annals of Applied Statistics, 1(2):30-32, 2007.
-
(2007)
The Annals of Applied Statistics
, vol.1
, Issue.2
, pp. 30-32
-
-
Friedman, J.1
Hastie, T.2
Hoefling, H.3
Tibshirani, R.4
-
11
-
-
80053453193
-
Beyond convexity: Submodularity in machine learning
-
Krause, A. and Guestrin, C. Beyond convexity: Submodularity in machine learning. In IJCAI, 2009.
-
(2009)
IJCAI
-
-
Krause, A.1
Guestrin, C.2
-
12
-
-
80053444531
-
-
Technical Report LiTH-ISY-R-2993, Department of Electrical Engineering, Linkping University, February
-
Lindsten, Fredrik, Ohlsson, Henrik, and Ljung, Lennart. Clustering using sum-of-norms regularization; with application to particle filter output computation. Technical Report LiTH-ISY-R-2993, Department of Electrical Engineering, Linkping University, February 2011.
-
(2011)
Clustering Using Sum-of-norms Regularization; with Application to Particle Filter Output Computation
-
-
Lindsten, F.1
Ohlsson, H.2
Ljung, L.3
-
14
-
-
0041875229
-
On spectral clustering: Analysis and an algorithm
-
Ng, A. Y., Jordan, M. I., and Weiss, Y. On spectral clustering: Analysis and an algorithm. In Adv. NIPS, 2001.
-
(2001)
Adv. NIPS
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
15
-
-
34548452938
-
Piecewise linear regularized solution paths
-
Rosset, S. and Zhu, J. Piecewise linear regularized solution paths. Annals of Statistics, 35(3):1012-1030, 2007.
-
(2007)
Annals of Statistics
, vol.35
, Issue.3
, pp. 1012-1030
-
-
Rosset, S.1
Zhu, J.2
-
17
-
-
0001287271
-
Regression Shrinkage and Selection Via the Lasso
-
Tibshirani, R. Regression Shrinkage and Selection Via the Lasso. J. R. Statist. Soc. B., 58(1):267-288, 1996.
-
(1996)
J. R. Statist. Soc. B.
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
18
-
-
12844266177
-
Sparsity and smoothness via the fused lasso
-
Tibshirani, R. and Saunders, M. Sparsity and smoothness via the fused lasso. J. R. Statist. Soc. B., 67:9-08, 2005.
-
(2005)
J. R. Statist. Soc. B.
, vol.67
, pp. 9-108
-
-
Tibshirani, R.1
Saunders, M.2
-
19
-
-
0035532141
-
Estimating the number of clusters in a data set via the gap statistic
-
Tibshirani, R., Walther, G., and Hastie, T. Estimating the number of clusters in a data set via the gap statistic. J. R. Statist. Soc. B, 63:41-23, 2001.
-
(2001)
J. R. Statist. Soc. B
, vol.63
, pp. 41-123
-
-
Tibshirani, R.1
Walther, G.2
Hastie, T.3
-
20
-
-
85162047618
-
Fast detection of multiple change-points shared by many signals using group LARS
-
Vert, J.-P. and Bleakley, K. Fast detection of multiple change-points shared by many signals using group LARS. In Adv. NIPS, 2010.
-
(2010)
Adv. NIPS
-
-
Vert, J.-P.1
Bleakley, K.2
-
21
-
-
33749255074
-
Maximum margin clustering
-
Xu, L., Neufeld, J., Larson, B., and Schuurmans, D. Maximum margin clustering. In Adv. NIPS, 2004.
-
(2004)
Adv. NIPS
-
-
Xu, L.1
Neufeld, J.2
Larson, B.3
Schuurmans, D.4
-
22
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
Yuan, M. and Lin, Y. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, 68(B):4-7, 2006.
-
(2006)
Journal of the Royal Statistical Society
, vol.68
, Issue.B
, pp. 4-7
-
-
Yuan, M.1
Lin, Y.2
-
23
-
-
69949155103
-
The composite absolute penalties family for grouped and hierarchical variable selection
-
Zhao, P., Rocha, G., and Yu, B. The composite absolute penalties family for grouped and hierarchical variable selection. Ann. Stat., 37(6A):3468-3497, 2009.
-
(2009)
Ann. Stat.
, vol.37
, Issue.6
, pp. 3468-3497
-
-
Zhao, P.1
Rocha, G.2
Yu, B.3
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