Difference between revisions of "sign up for your presentation"

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|Manda Winlaw|| Consistency of trace norm minimization [http://www.di.ens.fr/~fbach/bach08a.pdf] [[Consistency of Trace Norm Minimization| Summary]]
 
|Manda Winlaw|| Consistency of trace norm minimization [http://www.di.ens.fr/~fbach/bach08a.pdf] [[Consistency of Trace Norm Minimization| Summary]]
 
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|Laleh Ghoraie|| A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization [http://jmlr.csail.mit.edu/papers/v10/abernethy09a.html]
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|Laleh Ghoraie|| A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization [http://jmlr.csail.mit.edu/papers/v10/abernethy09a.html][[ A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization | Summary]]

Revision as of 22:00, 2 December 2010

Sign up for your presentation in the following table. Put your name and a link to the paper that you are going to present. Chose a date between Nov 16 and Dec 2 (inclusive).

Set A

Date Presentation (1) Presentation (2)
Nov 16 Sepideh Seifzadeh [1] Summary Manda Winlaw [2], Summary
Nov 18 Rahul [3] Summary Fatemeh Dorri [4],Summary
Nov 23 Pouria Fewzee Lisha Yu[5]Summary
Nov 25 Laleh Ghoraie [6] Summary Mehrdad Gangeh [7]Summary
Nov 30 Greg D'Cunha [8] Summary Mohammad Derakhshani [9],

Summary

Dec 2 Yongpeng Sun [10] Summary Ryan Case [11] Summary

Set B

Name Second paper (The paper that you are going to write a critic on it. This is different from the paper that you have chosen for presentation.)
Greg D'Cunha Probabilistic matrix factorization [12] Summary
Fatemeh Dorri Optimal Solutions forSparse Principal Component Analysis[13] Summary
Lisha Yu Maximum‐margin matrix factorization[14]
Ryan Case Probabilistic non-linear principal component analysis with Gaussian process latent variable models [15] Summary
Yongpeng Sun Multi‐Task Feature Learning [16] Summary
Manda Winlaw Consistency of trace norm minimization [17] Summary
Laleh Ghoraie A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization [18] Summary