Publications of Y Seldin
All genres
Journal Article (2)
1.
Journal Article
58 (12), pp. 7086 - 7093 (2012)
PAC-Bayesian Inequalities for Martingales. IEEE Transactions on Information Theory 2.
Journal Article
11, pp. 3595 - 3646 (2010)
PAC-Bayesian Analysis of Co-clustering and Beyond. The Journal of Machine Learning Research Conference Paper (12)
3.
Conference Paper
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
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
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
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)
Reinforcement Learning with Bounded Information Loss. In: AIP Conference Proceedings, Vol. 7.
Conference Paper
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
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
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
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
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
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)
Information Bottleneck for Non Co-Occurrence Data. In: Advances in Neural Information Processing Systems 19, pp. 1241 - 1248 (Eds. 13.
Conference Paper
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
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
PAC-Bayesian Analysis in Unsupervised Learning. Foundations and New Trends of PAC Bayesian Learning Workshop, London, UK (2010)
16.
Talk
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
Multi-Classification by Categorical Features via Clustering. 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland (2008)
Thesis - PhD (2)
18.
Thesis - PhD
A PAC-Bayesian Approach to Structure Learning. Dissertation, 139 pp., Hebrew University of Jerusalem, Jerusalem, Israel (2009)
19.
Thesis - PhD
On Unsupervised Learning of Mixtures of Markov Sources. Dissertation, 65 pp., Hebrew University of Jerusalem, Jerusalem, Israel (2001)
Report (2)
20.
Report
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2011), 13 pp.