Fall 2013 Schedule (1 pm Thursday in RTH 320)

• 12 Dec 2013

X. Wang and I. Davidson, Flexible constrained spectral clustering, Proc. KDD, 2010.

Z. Lu and M. A. Carreira-Perpinan, Constrained spectral clustering through affnity propagation, Proc. CVPR, 2008.

(Background reading) K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl, Constrained K-means clustering with background knowledge, Proc. ICML, 2011.

Discussion Leader: Naveen Kumar

• 5 Dec 2013

S. J. Julier and J. K. Uhlmann, Unscented filtering and nonlinear estimation, Proceedings of the IEEE, vol. 92, no. 3, pp. 401-422, 2004.

Discussion Leader: Jangwon Kim

• 14 Nov 2013

L. Deng, A tutorial survey of architectures, algorithms, and applications for deep learning, APSIPA Transactions on Signal and Information Processing, 2014.

Discussion Leader: Kartik Audhkhasi

• 24 Oct 2013

A. Krause and S. Jegelka, Submodularity in machine learning, Tutorial, ICML, 2013.

L. Lovasz, Submodular functions and convexity, Mathematical Programming, pp. 235-257, Springer, 1983.

S. Dughmi, Submodular functions: Extensions, distributions, and algorithms, Ph.D. qualifying exam report, Department of Computer Science, Stanford University, 2009.

Discussion Leader: Kartik Audhkhasi

• 3 Oct 2013

J. B. Tenenbaum, V. D. Silva, J. C. Langford, A Global Geometric Framework for Nonlinear Dimensionality Reduction, Science, vol. 290, December 2000.

Discussion Leader: Dr. Maarten Van Segbroeck

• 19 Sep 2013

M. Belkin, P. Niyogi, and V. Sindhwani, Manifold regularization: A geometric framework for learning from labeled and unlabeled examples, Journal of Machine Learning Research, vol. 7, pp. 2399-2434, 2006.

Discussion Leader: Kartik Audhkhasi

• 13 Sep 2013

A. Potamianos, A Discussion on Lexical Semantic Spaces and Representation Modeling

Discussion Leader: Prof. Alex Potamianos

• 6 Sep 2013

Y. Bengio, A. Courville and P. Vincent, Representation learning: A review and new perspectives, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1798-1828, Aug 2013.

Discussion Leader: Ruchir Travadi, Prof. Alex Potamianos

• 23 Aug 2013

D. Zhou et. al, Learning with local and global consistency, Proc. NIPS, 2004.

X. Zhu and Z. Ghahramani, Learning from labeled and unlabeled data with label propagation, Proc. NIPS, 2002.

M. Belkin, P. Niyogi and V. Sindhwani, Manifold regularization: A geometric framework for learning from labeled and unlabeled examples, Journal of Machine Learning Research, vol. 7, pp. 2399-2434, 2006.

Discussion Leader: Naveen Kumar