Data Science & Analytics

Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions ACML 2014 Ranking via Robust Binary Classification NeurIPS 2014 Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts CVPR 2014 Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Robust Hierarchical Clustering JMLR 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Sketching the Support of a Probability Measure AISTATS 2014 Spectral Clustering of graphs with the Bethe Hessian NeurIPS 2014 Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Subspace Clustering for Sequential Data CVPR 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Tight Continuous Relaxation of the Balanced k-Cut Problem NeurIPS 2014 Universal Option Models NeurIPS 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Weighted Graph Clustering with Non-Uniform Uncertainties ICML 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 Active Learning for Interactive Visualization AISTATS 2013 A Gang of Bandits NeurIPS 2013 Aggregating Predictions via Sequential Mini-Trading ACML 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013