Representation Learning

On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Refinement of Operator-valued Reproducing Kernels JMLR 2012 Regularization Techniques for Learning with Matrices JMLR 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Sally: A Tool for Embedding Strings in Vector Spaces JMLR 2012 Sampling Methods for the Nyström Method JMLR 2012 Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NeurIPS 2012 Slice Normalized Dynamic Markov Logic Networks NeurIPS 2012