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Regularized Weighted Low Rank Approximation
Frank Ban, David Woodruff, Richard Zhang
Neural Information Processing Systems http://nips.cc/
Power-law efficient neural codes provide general link between perceptual bias and discriminability
Michael Morais, Jonathan W. Pillow
Theposterior 7 Figure 4: fits (Posteriork increases.
Poisson Variational Autoencoder
Despite their success, traditional V AEs rely on continuous latent variables, which deviates sharply from the discrete nature of biological neurons.
Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani, Qingyun Sun, David Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John Pauly
We learn a proximal map that works well with real images based on residual networks.
Limiting Extrapolation in Linear Approximate Value Iteration
Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
Neural Information Processing Systems http://nips.cc/
Markov Random Fields for Collaborative Filtering
In this regime (n > m), learning a sparse model may not lead to significant improvements inprediction accuracy(compared toadensemodel).
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Seunghoon Hong, Xinchen Yan, Thomas S. Huang, Honglak Lee
Neural Information Processing Systems http://nips.cc/