Applications

Compressive Spectral Clustering ICML 2016 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 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 Cost Effective Acoustic Monitoring of Bird Species Interspeech 2016 Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 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 Direct vs. indirect evaluation of distributional thesauri COLING 2016 Discriminatively Embedded K-Means for Multi-View Clustering CVPR 2016 Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016 Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model ICML 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Exploring Differential Topic Models for Comparative Summarization of Scientific Papers COLING 2016 Extracting Discriminative Keyphrases with Learned Semantic Hierarchies COLING 2016 Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision JMLR 2016 Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016 Fast Distributed Submodular Cover: Public-Private Data Summarization NeurIPS 2016 fastFM: A Library for Factorization Machines JMLR 2016 Flexible Models for Microclustering with Application to Entity Resolution NeurIPS 2016