Clustering

Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019 Pseudo Supervised Matrix Factorization in Discriminative Subspace IJCAI 2019 PyOD: A Python Toolbox for Scalable Outlier Detection JMLR 2019 q-means: A quantum algorithm for unsupervised machine learning NeurIPS 2019 Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NeurIPS 2019 Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019 Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering ICCV 2019 Recursive Sketches for Modular Deep Learning ICML 2019 Region-Based Message Exploration over Spatio-Temporal Data Streams AAAI 2019 Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs NeurIPS 2019 Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios AAAI 2019 Robustness Guarantees for Density Clustering AISTATS 2019 Robustness of Spectral Methods for Community Detection COLT 2019 Robust Principal Component Analysis-Based Infrared Small Target Detection AAAI 2019 Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling CVPR 2019 RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace AAAI 2019 Same-Cluster Querying for Overlapping Clusters NeurIPS 2019 Scalable Fair Clustering ICML 2019 Scalable inference of topic evolution via models for latent geometric structures NeurIPS 2019 Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds JMLR 2019 Scaling Fine-grained Modularity Clustering for Massive Graphs IJCAI 2019 Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS) AAAI 2019 SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia NAACL 2019 SegSort: Segmentation by Discriminative Sorting of Segments ICCV 2019 Selective Sampling-based Scalable Sparse Subspace Clustering NeurIPS 2019