Publications of Y Seldin

Journal Article (2)

1.
Journal Article
Seldin, Y.; Laviolette, F.; Cesa-Bianchi, N.; Shawe-Taylor, J.; Auer, P.: PAC-Bayesian Inequalities for Martingales. IEEE Transactions on Information Theory 58 (12), pp. 7086 - 7093 (2012)
2.
Journal Article
Seldin, Y.: PAC-Bayesian Analysis of Co-clustering and Beyond. The Journal of Machine Learning Research 11, pp. 3595 - 3646 (2010)

Conference Paper (12)

3.
Conference Paper
Seldin, Y.; Cesa-Bianchi, N.; Auer, P.; Laviolette, F.; Shawe-Taylor, J.: PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. In: Workshop on On-line Trading of Exploration and Exploitation 2, 02 July 2011, Bellevue, Washington, USA, pp. 98 - 111 (Eds. Glowacka, C.; Dorata, L.; Shawe-Taylor , J.). Workshop on On-line Trading of Exploration and Exploitation 2, Bellevue, WA, USA, July 02, 2011. International Machine Learning Society, Madison, WI, USA (2012)
4.
Conference Paper
Seldin, Y.; Auer, P.; Laviolette, F.; Shawe-Taylor, J.; Ortner, R.: PAC-Bayesian Analysis of Contextual Bandits. In: Advances in Neural Information Processing Systems 24, pp. 1683 - 1691 (Eds. Shaw-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
5.
Conference Paper
Seldin, Y.; Cesa-Bianchi N, Laviolette F, Auer P, Shawe-Taylor, J.; Peters, J.: PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off. In: ICML 2011 Workshop on Online Trading of Exploration and Exploitation 2, pp. 1 - 8. ICML 2011 Workshop on Online Trading of Exploration and Exploitation 2, Bellevue, WA, USA. (2011)
6.
Conference Paper
Peters, J.; Mülling, K.; Seldin, Y.; Altun, Y.: Reinforcement Learning with Bounded Information Loss. In: AIP Conference Proceedings, Vol. 1305, pp. 365 - 372 (Eds. Mohammad-Djafari, A.; Bercher, J.-F.; Bessière, P.). 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), Chamonix, France, July 04, 2010 - July 09, 2010. American Institute of Physics, Woodbury, NY, USA (2011)
7.
Conference Paper
Seldin, Y.: A PAC-Bayesian Analysis of Co-clustering, Graph Clustering, and Pairwise Clustering. In: ICML 2010 Workshop on Social Analytics: Learning from human interactions, pp. 1 - 5. ICML 2010 Workshop on Social Analytics: Learning from human interactions, Haifa, Israel, June 25, 2010. (2010)
8.
Conference Paper
Seldin, Y.; Tishby, N.: PAC-Bayesian Bounds for Discrete Density Estimation and Co-clustering Analysis. In: Foundations and New Trends of PAC Bayesian Learning Workshop, pp. 1 - 2. Foundations and New Trends of PAC Bayesian Learning Workshop, London, UK. (2010)
9.
Conference Paper
Seldin, Y.; Tishby, N.: A PAC-Bayesian Approach to Formulation of Clustering Objectives. In: NIPS 2009 Workshop "Clustering: Science or Art? Towards Principled Approaches", pp. 1 - 4. NIPS 2009 Workshop "Clustering: Science or Art? Towards Principled Approaches", Whistler, BC, Canada, December 11, 2009. (2009)
10.
Conference Paper
Seldin, Y.; Tishby, N.: PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. In: Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), pp. 472 - 479. Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater Beach, FL, USA, April 16, 2009 - April 18, 2009. MIT Press, Cambridge, MA, USA (2009)
11.
Conference Paper
Seldin, Y.; Tishby, N.: Multi-Classification by Categorical Features via Clustering. In: ICML '08: Proceedings of the 25th international conference on Machine, pp. 920 - 927 (Eds. Cohen, W.; McCallum, A.; Roweis, S.). 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, June 05, 2008 - June 09, 2008. ACM Press, New York, NY, USA (2008)
12.
Conference Paper
Seldin, Y.; Slonim, N.; Tishby, N.: Information Bottleneck for Non Co-Occurrence Data. In: Advances in Neural Information Processing Systems 19, pp. 1241 - 1248 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)
13.
Conference Paper
Seldin, Y.; Starik, S.; Werman, M.: Unsupervised Clustering of Images using their Joint Segmentation. In: 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), pp. 1 - 24. 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), Nice, France, October 12, 2003. (2003)
14.
Conference Paper
Seldin, Y.; Bejerano, G.; Tishby, N.: Unsupervised Segmentation and Classification of Mixtures of Markovian Sources. In: 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics), pp. 1 - 15. 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics). (2001)

Talk (3)

15.
Talk
Seldin, Y.: PAC-Bayesian Analysis in Unsupervised Learning. Foundations and New Trends of PAC Bayesian Learning Workshop, London, UK (2010)
16.
Talk
Seldin, Y.: PAC-Bayesian Approach to Formulation of Clustering Objectives. NIPS 2009 Workshop on "Clustering: Science or Art? Towards Principled Approaches", Whistler, BC, Canada (2009)
17.
Talk
Seldin, Y.: Multi-Classification by Categorical Features via Clustering. 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland (2008)

Thesis - PhD (2)

18.
Thesis - PhD
Seldin, Y.: A PAC-Bayesian Approach to Structure Learning. Dissertation, 139 pp., Hebrew University of Jerusalem, Jerusalem, Israel (2009)
19.
Thesis - PhD
Seldin, Y.: On Unsupervised Learning of Mixtures of Markov Sources. Dissertation, 65 pp., Hebrew University of Jerusalem, Jerusalem, Israel (2001)

Report (2)

20.
Report
Seldin, Y.; Laciolette, F.; Shaw-Taylor, J.; Peters, J.; Auer, P.: PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2011), 13 pp.
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