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Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Learning Control Knowledge for Forward Search Planning JMLR 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Universal Multi-Task Kernels JMLR 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008
Learning Balls of Strings from Edit Corrections JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Manifold Learning: The Price of Normalization JMLR 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
Visualizing Data using t-SNE JMLR 2008
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008
Random Features for Large-Scale Kernel Machines NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Inferring Elapsed Time from Stochastic Neural Processes NIPS 2007
A learning framework for nearest neighbor search NIPS 2007
An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
Modeling Natural Sounds with Modulation Cascade Processes NIPS 2007
Random Projections for Manifold Learning NIPS 2007