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Optimization

1,664 papers

Papers per year

2
22
150
248
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Papers

Parallelized Stochastic Gradient Descent NIPS 2010
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
Periodic Step Size Adaptation for Single Pass On-line Learning NIPS 2009
Differentiable Sparse Coding NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
A Massively Parallel Digital Learning Processor NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
Random Features for Large-Scale Kernel Machines NIPS 2007
Topmoumoute Online Natural Gradient Algorithm NIPS 2007
Blind Motion Deblurring Using Image Statistics NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Greedy Layer-Wise Training of Deep Networks NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
Map-Reduce for Machine Learning on Multicore NIPS 2006