Courses/Seminars‎ > ‎

Forecasting/Machine Learning (WI14)

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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