Methods

Shape Index Descriptors Applied to Texture-Based Galaxy Analysis ICCV 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Stochastic blockmodeling of relational event dynamics AISTATS 2013 The Extended Parameter Filter ICML 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 Transition Matrix Estimation in High Dimensional Time Series ICML 2013 Tree-Independent Dual-Tree Algorithms ICML 2013 Unsupervised Random Forest Manifold Alignment for Lipreading ICCV 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Density-Difference Estimation NeurIPS 2012 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Factorized Diffusion Map Approximation AISTATS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012