Methods

Learning Time-Varying Coverage Functions NeurIPS 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014 Making Fisher Discriminant Analysis Scalable ICML 2014 Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts CVPR 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems JMLR 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events ICML 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013