Representation Learning

Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008 An ideal observer model of infant object perception NeurIPS 2008 A rational model of preference learning and choice prediction by children NeurIPS 2008 Artificial Olfactory Brain for Mixture Identification NeurIPS 2008 A Scalable Hierarchical Distributed Language Model NeurIPS 2008 Bayesian Exponential Family PCA NeurIPS 2008 Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008 Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Clusters and Coarse Partitions in LP Relaxations NeurIPS 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Deflation Methods for Sparse PCA NeurIPS 2008 Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008