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Representation Learning

18863 directly classified papers

Papers per year

Papers

Multi-task Vector Field Learning NIPS 2012
Feature-Based Prediction of Trajectories for Socially Compliant Navigation RSS 2012
Linear Regression With Random Projections JMLR 2012
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012
Feature Selection via Dependence Maximization JMLR 2012
Minimax Manifold Estimation JMLR 2012
Sampling Methods for the Nyström Method JMLR 2012
NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012
Regularization Techniques for Learning with Matrices JMLR 2012
Max-Margin Min-Entropy Models AISTATS 2012
Bayesian Group Factor Analysis AISTATS 2012
Refinement of Operator-valued Reproducing Kernels JMLR 2012
Sally: A Tool for Embedding Strings in Vector Spaces JMLR 2012
Oger: Modular Learning Architectures For Large-Scale Sequential Processing JMLR 2012
Data dependent kernels in nearly-linear time AISTATS 2012
Multi-label Subspace Ensemble AISTATS 2012
Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012
Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012
Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012