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Papers (including subtopics)

Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Sparse Online Learning via Truncated Gradient JMLR 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 Stable and Efficient Gaussian Process Calculations JMLR 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009 Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 Structured output regression for detection with partial truncation NeurIPS 2009 Structure Spaces JMLR 2009 Subgroup Analysis via Recursive Partitioning JMLR 2009 Subject independent EEG-based BCI decoding NeurIPS 2009 Submanifold density estimation NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining JMLR 2009 Tactile texture recognition with a 3-axial force MEMS integrated artificial finger RSS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List JMLR 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 The Wisdom of Crowds in the Recollection of Order Information NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NeurIPS 2009