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Papers (including subtopics)

A Geometric Approach to Sample Compression JMLR 2012 A Geometric take on Metric Learning NeurIPS 2012 A Hybrid Neural Network-Latent Topic Model AISTATS 2012 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012 A Kernel Two-Sample Test JMLR 2012 A latent factor model for highly multi-relational data NeurIPS 2012 A lattice filter model of the visual pathway NeurIPS 2012 Algebraic Geometric Comparison of Probability Distributions JMLR 2012 Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012 Algorithms for Learning Markov Field Policies NeurIPS 2012 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally JMLR 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012 A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives JMLR 2012 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity JMLR 2012 Analog readout for optical reservoir computers NeurIPS 2012 Analysis of a Random Forests Model JMLR 2012 A Neural Autoregressive Topic Model NeurIPS 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012 An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012 An Integer Optimization Approach to Associative Classification NeurIPS 2012