Statistical Machine Learning Reading Group

Statistical Machine Learning Reading Group

University of Michigan

Current schedule available on CTools; contact me for access.

2013 Winter
Thursdays 11:30-1:00, 438 West Hall

Date	Presenter	Title	Author(s)
1/10	Long	The semiparametric Bernstein–von Mises theorem	P. J. Bickel and B. J. K. Kleijn
1/17	Tak	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	Amir Beck, Marc Teboulle
1/24	Arash	Barycenters in the Wasserstein space	M. Agueh and G. Garlier
1/31	Clay	Domain Generalization via Invariant Feature Representation	Krikamol Muandet, David Balduzzi, Bernhard Sch?kopf
2/7	Hossein	Oracle Inequalities and Optimal Inference under Group Sparsity	Lounici, K., Pontil, M., Tsybakov, A.B., Van de Geer, S.A.
2/14	Robert	k-means++: The Advantages of Careful Seeding	David Arthur and Sergei Vassilvitskii
2/21	Sougata	Database-friendly Random Projections	Dimitris Achlioptas
2/28	John Duchi	Local Privacy and Statistical Minimax Rates	John Duchi, Michael Jordan, and Martin Wainwright
3/7		WINTER BREAK
3/14	Ambuj	Estimation of Simultaneously Sparse and Low Rank Matrices	Emile Richard, Pierre-Andre Savalle, Nicolas Vayatis
3/21	Can	Quantitative concentration inequalities for empirical measures on non-compact spaces	F. Bolley, A. Guillin, C. Villani
3/28	Clay	Factoring nonnegative matrices with linear programs	Victor Bittorf, Benjamin Recht, Christopher Re, and Joel A. Tropp
4/4	Tak	Low-rank Matrix Completion using Alternating Minimization	Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi
4/11	Robert	Efficient anomaly detection using bipartite k-NN graphs	Kumar Sricharan, Alfred Hero
4/18	Hossein	Estimation of high dimensional linear mixed effect models using L1- penalization	J. Schelldorfer, P. Buehlmann and S. van de Geer

2012 Fall
Wednesdays 3:30-4:30, 438 West Hall

Date	Presenter	Title	Author(s)
9/12	Tak	A Generalized Least Squares Matrix Decomposition	Genevera Allen, Logan Grosenick, and Jonathan Taylor
9/19	Robert	Feature Selection via Dependence Maximization	Le Song, Alex Smola, Arthur Gretton, Justin Bedo, Karsten Borgwardt
9/26		NO MEETING
10/3	Hossein	Minimax Rates of Estimation for Sparse PCA in High Dimensions	Vincent Vu and Jing Lei
10/10	Long	Linear functionals and Markov chains associated with Dirichlet processes	Paul D. Feigin and Richard L. Tweedie
10/17	Ambuj	High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity	Po-Ling Loh and Martin Wainwright
10/24	Clay	Reproducing Kernel Banach Spaces with the l1 Norm	Guohui Song, Haizhang Zhang, Fred J. Hickernell
10/31	Tak	A Dirty Model for Multi-task Learning	Ali Jalali, Pradeep Ravikumar, Sujay Sanghavi, Chao Ruan
11/7	Robert	Weak and Strong Uniform Consistency of the Kernel Estimate of a Density and its Derivatives	Bernard Silverman
11/14	Hossein	Estimation of high dimensional low rank matrices	Angelika Rohde and Alexandre B. Tsybakov
11/21		THANKSGIVING
11/28	Ambuj	Distributed Learning, Communication Complexity, and Privacy	Nina Balcan, Avrim Blum, Shai Fine, and Yishay Mansour

2012 Spring/Summer
Wednesdays 1-3, 4419 EECS

Date	Presenter	Title	Author(s)
5/2	Clay	Consistency of support vector machines and other regularized kernel classifiers	Ingo Steinwart
5/9	Tak	K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation	Michal Aharon, Michael Elad, and Alfred Bruckstein
5/16	Rob	Approximations by Superpositions of a Sigmoidal Function	G. Cybenko
5/23	Greg	Combining labeled and unlabeled data with co-training	Avrim Blum and Tom Mitchell
5/30	Clay	New Analysis and Algorithm for Learning with Drifting Distributions	Mehryar Mohri and Andres Munoz Medina
6/6		Attend Conference on Statistical Learning and Data Mining
6/13	Hossein	Laplacian eigenmaps for dimensionality reduction and data representation	Mikhail Belkin and Partha Niyogi
6/20	Tak	Sparse Bayesian learning and the relevance vector machine	Michael Tipping
6/27	Rob	A Kernel Two-Sample Test	Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Scholkopf, Alexander Smola
7/4,11,18		No meeting
7/25	Greg	An Augmented PAC Model for Semi-Supervised Learning	Maria-Florina Balcan and Avrim Blum
8/1	Hossein	RANK-SPARSITY INCOHERENCE FOR MATRIX DECOMPOSITION	V. Chandrasekaran, S. Sanghavi, P.A. Parrilo and A.S. Willsky
8/8		Attend SSP Workshop
8/15	Clay	One-class Machines Based on the Coherence Criterion	Noumir, Zineb, Honeine, Paul, and Richard, Cedric