Accepted Posters
  • Greedy Nystrom Approximation
    Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
  • Low-rank methods for learning quantum states
    Stephen Becker, Brielin Brown, Jens Eisert, Steve Flammia, David Gross, Yi-Kai Liu
  • Normalized power iterations for the computation of SVD
    Per-Gunnar Martinsson, Arthur Szlam, Mark Tygert
  • Online Learning in the Manifold of Low-Rank Matrices
    Uri Shalit, Daphna Weinshall, Gal Chechik
  • Column Subset Selection with Missing Data
    Laura Balzano, Robert Nowak, Waheed U. Bajwa
  • Latent Factor Topic Models with Rank-Reducing Beta Process Priors
    John Paisley, David Blei
  • Large Scale GPU Based Inference for the Infinite Relational Model
    Toke Jansen Hansen, Morten Morup, Lars Kai Hansen
  • Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
    Sahand Negahban, Martin J. Wainwright
  • Grappling with Gigantic Matrices: Fast Approximations based on Distance Geometry
    Christian Thurau, Kristian Kersting, Christian Bauckhage, Novi Quadrianto
  • Low-dimensional Embedding of Large-scale Infinite-dimensional Function Spaces with Application to Human Brain Connectome
    Saeed Amizadeh, Mei Chen, Denver Dash, Milos Hauskrecht, Walter Schneider
  • The GROUSE Algorithm for Online Construction of Low-Rank Approximations
    Laura Balzano, Robert Nowak, Benjamin Recht
  • Graph Spectra Regression with Low-Rank Approximation for Dynamic Graph Link Prediction
    Chunsheng Fang, Jason L. Lu, Anca L. Ralescu
  • Sparse PCA for Text Corpus Summarization and Exploration
    Brian Gawalt, Youwei Zhang, Laurent El Ghaoui
  • Rank Selection in Low-rank Matrix Approximations: A Study of Cross-Validation for NMFs
    Bhargav Kanagal, Vikas Sindhwani
  • Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems
    Guangcan Liu, Ju Sun, Shuicheng Yan
  • Rank-constrained linear regression: a Riemannian approach
    Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre
  • Fast and Faster: A Comparison of Two Streamed Matrix Decomposition Algorithms
    Radim Rehurek
  • Online Projective Nonnegative Matrix Factorization for Large Datasets
    Zhirong Yang, Erkki Oja