Methods

Data Skeletonization via Reeb Graphs NeurIPS 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 History distribution matching method for predicting effectiveness of HIV combination therapies NeurIPS 2011 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 Inference in continuous-time change-point models NeurIPS 2011 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 Learning Auto-regressive Models from Sequence and Non-sequence Data NeurIPS 2011 Learning to Search Efficiently in High Dimensions NeurIPS 2011 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 Priors over Recurrent Continuous Time Processes NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 The Stationary Subspace Analysis Toolbox JMLR 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010