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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Autoencoder Trees ACML 2015
One-bit Compressed Sensing with the k-Support Norm AISTATS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
A totally unimodular view of structured sparsity AISTATS 2015
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling AISTATS 2015
Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS 2015
Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015
Tensor Factorization via Matrix Factorization AISTATS 2015
Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015
Symmetric Iterative Proportional Fitting AISTATS 2015
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015
A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015
Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015
Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015
Maximally Informative Hierarchical Representations of High-Dimensional Data AISTATS 2015
Multi-Manifold Modeling in Non-Euclidean spaces AISTATS 2015
Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015
A la Carte – Learning Fast Kernels AISTATS 2015
Learning Overcomplete Latent Variable Models through Tensor Methods COLT 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015
Efficient Representations for Lifelong Learning and Autoencoding COLT 2015
On the Complexity of Learning with Kernels COLT 2015
Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015
Tensor principal component analysis via sum-of-square proofs COLT 2015
Online PCA with Spectral Bounds COLT 2015