Data Science & Analytics

Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Clustering with Bregman Divergences: an Asymptotic Analysis NeurIPS 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NeurIPS 2016 Communication-Optimal Distributed Clustering NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 2016 Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016 Compressive Spectral Clustering ICML 2016 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 2016 ConFarm: Extracting Surface Representations of Verb and Noun Constructions from Dependency Annotated Corpora of Russian COLING 2016 Congruency Effect Between Articulation and Grasping in Native English Speakers Interspeech 2016 Consistent Algorithms for Clustering Time Series JMLR 2016 Contextual Combinatorial Cascading Bandits ICML 2016 Controlling the distance to a Kemeny consensus without computing it ICML 2016 Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data Interspeech 2016 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Cost Effective Acoustic Monitoring of Bird Species Interspeech 2016 Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 2016 Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax COLING 2016 Data-driven Rank Breaking for Efficient Rank Aggregation ICML 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 DCM Bandits: Learning to Rank with Multiple Clicks ICML 2016 Deconvolving Feedback Loops in Recommender Systems NeurIPS 2016 Dictionary Learning for Massive Matrix Factorization ICML 2016