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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