Data Science & Analytics

Soft-DTW: a Differentiable Loss Function for Time-Series ICML 2017 Sparse Embedded k-Means Clustering NeurIPS 2017 Spectral Clustering Based on Local PCA JMLR 2017 SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation IJCAI 2017 Stability of Prosodic Characteristics Across Age and Gender Groups Interspeech 2017 Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017 Subspace Clustering via Tangent Cones NeurIPS 2017 Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling ACL 2017 The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts EACL 2017 The Impact of Random Models on Clustering Similarity JMLR 2017 The Importance of Communities for Learning to Influence NeurIPS 2017 The Language of Place: Semantic Value from Geospatial Context EACL 2017 The Sample Complexity of Online One-Class Collaborative Filtering ICML 2017 Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 Tomography of the London Underground: a Scalable Model for Origin-Destination Data NeurIPS 2017 Topic-Based Agreement and Disagreement in US Electoral Manifestos EMNLP 2017 Topic Signatures in Political Campaign Speeches EMNLP 2017 Towards a Quality Metric for Dense Light Fields CVPR 2017 Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process IJCAI 2017 Two-Sample Tests for Large Random Graphs Using Network Statistics COLT 2017 Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference ICML 2017 Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection ACL 2017 Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization IJCAI 2017 Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017 Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications ACML 2017