The presentation order is below: Date
| Presenter
| Topic/Paper
| | 01/08 |
| Approximate Bayesian Computation.
Richard Wilkinson
Tutorial in NIPS 2013.
pdf
| 01/15
| | BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables.
Cho-Jui Hsieh, Matyas A Sustik, Inderjit S Dhillon, Pradeep K Ravikumar, Russell Poldrack
In the poster session of NIPS 2013. | 01/22
| | Understanding the difficulty of training deep feedforward neural
networks.
Glorot, Xavier and Bengio, Yoshua
AISTATS 2010:
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics. pp.
249-256, 2010.
pdf
| 01/29
| | OOTO in TAIWAN
| 02/05
| | OOTO in TAIWAN | 02/12
| | Attend the talk by Mark Dredze.
A related paper:
Factorial LDA: Sparse Multi-Dimensional Text Models
Michael J. Paul and Mark Dredze
In NIPS 2012.
pdf
| | 02/19 | | Review of Gaussian Process.
More to read:
A Tutorial on Gaussian Processes, Zoubin Ghahramani, used for Department of Engineering, University of Cambridge, UK (pdf)
| | 02/26 | | The spectral norm error of the naive Nystrom extension.
ALEX GITTENS
arXiv:1110.5305 | 03/05 | | No meeting.
| | | | Probabilistic Forecasting
Tilmann Gneiting and Matthias Katzfuss
Annual Review of Statistics and Its Application, Vol. 1, Issue 1, pp. 125-151, 2014
www
| | 03/06 | | Probabilistic Principal Component Analysis.
Michael E. Tipping and Christopher M. Bishop
Journal of the Royal Statistical Society. Series B (Statistical Methodology)
Vol. 61, No. 3 (1999), pp. 611-622
pdf
| 05/07
| | Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Rie Johnson, Tong Zhang
In NIPS 2013.
pdf, www
| | 05/14 | | Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek,
Hugo Larochelle,
Ryan P. Adams
2012
arxiv
| | 05/21 | | Analytic Long-Term Forecasting with Periodic Gaussian Processes
Nooshin Haji Ghassemi, Marc Peter Deisenroth
In AISTAT 2014: Proceedings of the 17-th International Conference on Artificial Intelligence and Statistics, 2014.
pdf
| | 05/28 | | Multi-Task
Bayesian Optimization
Kevin Swersky, Jasper
Snoek and Ryan Prescott Adams
In NIPS 2013.
pdf
| | 06/04 | | Bayesian Numeric Analysis
Persi Diaconis
pdf, video
| | 06/25 | | Generating Sequences With Recurrent Neural Networks
Alex Graves
arxiv
|
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