Statistical Learning and Data Mining
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Fall 2017
Meetings will be held every
other Tuesday from 12:30-1:30pm in CH 212.
Presentation and discussion schedule will be updated as we go along.
- September 5, 2017
Speaker: Chenxi Zhou
Title: Statistical Guarantees for the EM Algorithm: from the Population to Sample-Based Analysis by Balakrishnan, Sivaraman; Wainwright, Martin J.; Yu, Bin (2017)
[Slides]
- September 19, 2017
Speaker: Qian Qian
Title: On the connections between algorithmic regularization and penalization for GLM's
Reference: Mirror descent and nonlinear projected subgradient methods for convex optimization by A. Beck and M. Teboulle (2003)
- October 3, 2017
Speaker: John Honaker
Title: Convolutional Neural Networks and ImageNet Classification
Reference: ImageNet classification with deep convolutional neural networks by A. Krizhevsky and I. Sutskever and G. E. Hinton, NIPS 2012 - October 17, 2017
Speaker: Shuyi Wang
Title: Region-based CNN Models for Object Detection
Reference: Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation by R. Girshick, J. Donahue, T. Darrell, J. Malik, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 - October 31, 2017
Speaker: Shanshan Tu
Title:Understanding black-box predictions via influence functions by Pang Wei Koh, Percy Liang, International Conference on Machine Learning (ICML), 2017
- November 14, 2017
Speaker: Jiae Kim
Title: The Geometry of Nonlinear Embeddings in Discriminant Analysis with Gaussian Kernel
Reference: Fisher discriminant analysis with kernels by Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Müller, K.R., Neural Networks for Signal Processing, p.41–48, 1999 - November 28, 2017
Speaker: Natalia Kravtsova
Title: Closed-form Supervised Dimensionality Reduction with Generalized Linear Models by I. Rish, G. Grabarnik, G. Cecchi, F. Pereira, and G. Gordon in Proceedings of ICML 2008