Statistical Machine Learning Reading Group
Carnegie Mellon University
Room: 7501 Gates-Hillman CenterTime: noon-1:30 pm Wednesday
| SCHEDULE: |
|
| Jan 14 |
High Dimensional Structure Learning of Ising Models on Sparse Random Graphs (arXiv) Authors: Animashree Anandkumar, Vincent Tan, Alan Willsky Presenter: Divyanshu Vats |
| Jan 21 |
Detection of an anomalous cluster in a network (arXiv) Authors: Ery Arias-Castro, Emmanuel J. Candes, Arnaud Durand Presenter: James Sharpnack |
| Jan 26 |
The Sample Complexity of Dictionary Learning (arXiv) Authors: Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein Presenter: Min Xu |
| Feb 2 |
Concentration inequalities of the cross-validation estimate for stable predictors (arXiv) Authors: Matthieu Cornec Presenter: Martin Azizyan |
| Feb 9 |
Stability Bounds for Stationary phi-mixing and beta-mixing Processes (here) Authors: Mehryar Mohri, Afshin Rostamizadeh Presenter: Dan McDonald |
| Feb 16 |
Nuclear norm penalization and optimal rates for noisy low rank matrix completion (arXiv) Authors: Vladimir Koltchinskii, Alexandre B. Tsybakov, Karim Lounici Presenter: Akshay Krishnamurthy |
| Feb 23 |
Information theoretic model validation for clustering (arXiv) Authors: Joachim M. Buhmann Presenter: Larry Wasserman |
| Mar 4 (12:30 in GHC 4211) |
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions(arXiv) Authors: Alekh Agarwal Presenter: Alekh Agarwal |
| Mar 16 |
Dynamics of Bayesian updating with dependent data and misspecified models (Euclid) Authors: Cosma Shalizi Presenter: Cosma Shalizi |
| Mar 23 |
Online Learning (here and
here) Authors: Alex Rakhlin et al. Presenter: Aaditya Ramdas |
| Mar 30 |
High-dimensional analysis of semidefinite relaxations for sparse principal components (Euclid) Authors: Arash A. Amini and Martin J. Wainwright Presenter: Mladen Kolar |
| Apr 20 |
Empirical risk minimization in inverse problems. (Euclid) Authors: Jussi Klemela and Enno Mammen Presenter: Darren Homrighausen |
Reading list requests/suggestions:
- Concentration inequalities of the cross-validation estimator for Empirical Risk Minimiser by Matthieu Cornec arXiv
- Rademacher Complexities and Bounding the Excess Risk in Active Learning by Vladimir Koltchinskii pdf
- PAC-Bayesian Analysis of Co-clustering and Beyond by Y. Seldin and N. Tishby pdf
- Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory by Sumio Watanabe pdf