Data Science & Analytics

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 Iterative Learning for Reliable Crowdsourcing Systems 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 Linear Submodular Bandits and their Application to Diversified Retrieval NeurIPS 2011 LPmade: Link Prediction Made Easy JMLR 2011 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 Minimax Localization of Structural Information in Large Noisy Matrices NeurIPS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 On Time Varying Undirected Graphs AISTATS 2011 On U-processes and clustering performance NeurIPS 2011 Priors over Recurrent Continuous Time Processes NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Randomized Algorithms for Comparison-based Search NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Reconstructing Patterns of Information Diffusion from Incomplete Observations NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011