S. V. N. Vishwanathan

Vishy Vishwanathan

	2009
36		Manfred K. Warmuth, S. V. N. Vishwanathan: Tutorial summary: Survey of boosting from an optimization perspective. ICML 2009: 175
35		Ankan Saha, S. V. N. Vishwanathan: Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes CoRR abs/0909.1062: (2009)
34		Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan: Lower Bounds for BMRM and Faster Rates for Training SVMs CoRR abs/0909.1334: (2009)
	2008
33		Manfred K. Warmuth, Karen A. Glocer, S. V. N. Vishwanathan: Entropy Regularized LPBoost. ALT 2008: 256-271
32		Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang: Consistent image analogies using semi-supervised learning. CVPR 2008
31		Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph: A quasi-Newton approach to non-smooth convex optimization. ICML 2008: 1216-1223
30		S. V. N. Vishwanathan, Karsten M. Borgwardt, Risi Imre Kondor, Nicol N. Schraudolph: Graph Kernels CoRR abs/0807.0093: (2008)
	2007
29		Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanathan: Conditional random fields for multi-agent reinforcement learning. ICML 2007: 1143-1150
28		Li Cheng, S. V. N. Vishwanathan: Learning to compress images and videos. ICML 2007: 161-168
27		Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le: A scalable modular convex solver for regularized risk minimization. KDD 2007: 727-736
26		Karsten M. Borgwardt, Tobias Petri, S. V. N. Vishwanathan, Hans-Peter Kriegel: An Efficient Sampling Scheme For Comparison of Large Graphs. MLG 2007
25		Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le: Bundle Methods for Machine Learning. NIPS 2007
24		S. V. N. Vishwanathan, Alexander J. Smola, René Vidal: Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes. International Journal of Computer Vision 73(1): 95-119 (2007)
	2006
23		Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan: An Online Discriminative Approach to Background Subtraction. AVSS 2006: 2
22		Choon Hui Teo, S. V. N. Vishwanathan: Fast and space efficient string kernels using suffix arrays. ICML 2006: 929-936
21		S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy: Accelerated training of conditional random fields with stochastic gradient methods. ICML 2006: 969-976
20		Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan: Fast Iterative Kernel PCA. NIPS 2006: 1225-1232
19		S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph: Fast Computation of Graph Kernels. NIPS 2006: 1449-1456
18		Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli: implicit Online Learning with Kernels. NIPS 2006: 249-256
17		Karsten M. Borgwardt, S. V. N. Vishwanathan, Hans-Peter Kriegel: Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels. Pacific Symposium on Biocomputing 2006: 547-558
16		S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola: Step Size Adaptation in Reproducing Kernel Hilbert Space. Journal of Machine Learning Research 7: 1107-1133 (2006)
15		S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola: Kernel extrapolation. Neurocomputing 69(7-9): 721-729 (2006)
	2005
14		Omri Guttman, S. V. N. Vishwanathan, Robert C. Williamson: Learnability of Probabilistic Automata via Oracles. ALT 2005: 171-182
13		Manfred K. Warmuth, S. V. N. Vishwanathan: Leaving the Span. COLT 2005: 366-381
12		Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola: Joint Regularization. ESANN 2005: 455-460
11		Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel: Protein function prediction via graph kernels. ISMB (Supplement of Bioinformatics) 2005: 47-56
10		Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan: Large-Scale Multiclass Transduction. NIPS 2005
9		Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay: Boîte à outils SVM simple et rapide. Revue d'Intelligence Artificielle 19(4-5): 741-767 (2005)
	2004
8		S. V. N. Vishwanathan, Alex J. Smola: Binet-Cauchy Kernels. NIPS 2004
	2003
7		S. V. N. Vishwanathan, Alex J. Smola, M. Narasimha Murty: SimpleSVM. ICML 2003: 760-767
6		Alexander J. Smola, Vishy Vishwanathan, Eleazar Eskin: Laplace Propagation. NIPS 2003
	2002
5		S. V. N. Vishwanathan, M. Narasimha Murty: Jigsawing : A Method to Create Virtual Examples in OCR data. HIS 2002: 690-696
4		S. V. N. Vishwanathan, M. Narasimha Murty: Geometric SVM: A Fast and Intuitive SVM Algorithm. ICPR (2) 2002: 56-59
3		S. V. N. Vishwanathan, Alexander J. Smola: Fast Kernels for String and Tree Matching. NIPS 2002: 569-576
	2001
2		S. V. N. Vishwanathan, M. Narasimha Murty: Use of Multi-category Proximal SVM for Data Set Reduction. HIS 2001: 19-24
	2000
1		S. V. N. Vishwanathan, M. Narasimha Murty: Kohonen's SOM with cache. Pattern Recognition 33(11): 1927-1929 (2000)

Coauthor Index

1	Douglas Aberdeen	[29]
2	Karsten M. Borgwardt	[11] [12] [15] [17] [19] [26] [30]
3	Simon Burton	[10]
4	Terry Caelli (Terry M. Caelli)	[18] [23]
5	Stéphane Canu	[9]
6	M. Chattopadhyay	[9]
7	Li Cheng	[18] [23] [28] [32]
8	Eleazar Eskin	[6]
9	Thomas Gärtner	[10]
10	Karen A. Glocer	[33]
11	Simon Günter	[20] [31]
12	Omri Guttman	[12] [14] [15]
13	Risi Imre Kondor	[30]
14	Hans-Peter Kriegel	[11] [17] [26]
15	Quoc V. Le	[10] [25] [27]
16	Gaëlle Loosli	[9]
17	Kevin P. Murphy	[21]
18	M. Narasimha Murty	[1] [2] [4] [5] [7]
19	Cheng Soon Ong	[11]
20	Tobias Petri	[26]
21	Ankan Saha	[34] [35]
22	Mark W. Schmidt	[21]
23	Stefan Schönauer	[11]
24	Nicol N. Schraudolph	[16] [19] [20] [21] [30] [31]
25	Dale Schuurmans	[18] [23]
26	Alexander J. Smola (Alex J. Smola)	[3] [6] [7] [8] [9] [10] [11] [12] [15] [16] [24] [25] [27]
27	Choon Hui Teo	[22] [27]
28	René Vidal	[24]
29	Shaojun Wang	[18] [23]
30	Manfred K. Warmuth	[13] [33] [36]
31	Robert C. Williamson	[14]
32	Jin Yu	[31]
33	Xinhua Zhang	[29] [32] [34]

Colors in the list of coauthors