Data Science & Analytics

Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Spectral Clustering on a Budget AISTATS 2011 The Stationary Subspace Analysis Toolbox JMLR 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 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 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010 Collaborative Filtering on a Budget AISTATS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Copula Processes NeurIPS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010