Data Mining

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015 Column Selection via Adaptive Sampling NeurIPS 2015 Dataset Fingerprints: Exploring Image Collections Through Data Mining CVPR 2015 Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NeurIPS 2015 Evaluating the statistical significance of biclusters NeurIPS 2015 Fast and Guaranteed Tensor Decomposition via Sketching NeurIPS 2015 Fast and Memory Optimal Low-Rank Matrix Approximation NeurIPS 2015 Long Short-Term Memory Over Recursive Structures ICML 2015 Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NeurIPS 2015 The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels NeurIPS 2015 TVSum: Summarizing Web Videos Using Titles CVPR 2015 A Fast and Robust Algorithm to Count Topologically Persistent Holes in Noisy Clouds CVPR 2014 Bibliographic Analysis with the Citation Network Topic Model ACML 2014 Distributed Balanced Clustering via Mapping Coresets NeurIPS 2014 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction CVPR 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning from Contagion (Without Timestamps) ICML 2014 Making Fisher Discriminant Analysis Scalable ICML 2014 Minimax-optimal Inference from Partial Rankings 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 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013