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(13 events)   Timezone: »  
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Mon Dec 07 06:33 PM -- 06:34 PM (PST)
Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan · Rong Jin · Ruofei Zhang · Jianchang Mao
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Mon Dec 07 06:34 PM -- 06:35 PM (PST)
On Learning Rotations
Raman Arora
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Mon Dec 07 06:35 PM -- 06:36 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar · Le Song · Eric Xing
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Mon Dec 07 06:36 PM -- 06:37 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
Stefan Klampfl · Wolfgang Maass
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Mon Dec 07 06:37 PM -- 06:38 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
Zhirong Yang · Irwin King · Zenglin Xu · Erkki Oja
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Mon Dec 07 06:38 PM -- 06:39 PM (PST)
Spatial Normalized Gamma Processes
Vinayak Rao · Yee Whye Teh
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Mon Dec 07 06:39 PM -- 06:40 PM (PST)
Rethinking LDA: Why Priors Matter
Hanna Wallach · David Mimno · Andrew McCallum
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Mon Dec 07 06:40 PM -- 06:41 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
Kurt T Miller · Tom Griffiths · Michael Jordan
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Mon Dec 07 06:41 PM -- 06:42 PM (PST)
A Fast, Consistent Kernel Two-Sample Test
Arthur Gretton · Kenji Fukumizu · Zaid Harchaoui · Bharath Sriperumbudur
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Mon Dec 07 06:42 PM -- 06:43 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
Amarnag Subramanya · Jeff Bilmes
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Mon Dec 07 06:43 PM -- 06:44 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
Sundeep Rangan · Allie Fletcher · Vivek K Goyal
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Mon Dec 07 06:44 PM -- 06:45 PM (PST)
Fast Learning from Non-i.i.d. Observations
Ingo Steinwart · Andreas Christmann
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Mon Dec 07 06:45 PM -- 06:46 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Rich Sutton