NIPS Proceedingsβ

Jieping Ye

22 Papers

  • A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing (2016)
  • HONOR: Hybrid Optimization for NOn-convex Regularized problems (2015)
  • Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection (2015)
  • A Safe Screening Rule for Sparse Logistic Regression (2014)
  • Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets (2014)
  • Lasso Screening Rules via Dual Polytope Projection (2013)
  • Generalization Bounds for Domain Adaptation (2012)
  • Multi-Stage Multi-Task Feature Learning (2012)
  • Multi-task Vector Field Learning (2012)
  • A Two-Stage Weighting Framework for Multi-Source Domain Adaptation (2011)
  • Clustered Multi-Task Learning Via Alternating Structure Optimization (2011)
  • Efficient Methods for Overlapping Group Lasso (2011)
  • Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis (2011)
  • Projection onto A Nonnegative Max-Heap (2011)
  • Moreau-Yosida Regularization for Grouped Tree Structure Learning (2010)
  • Multi-Stage Dantzig Selector (2010)
  • Efficient Recovery of Jointly Sparse Vectors (2009)
  • Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data (2009)
  • Multi-label Multiple Kernel Learning (2008)
  • Discriminative K-means for Clustering (2007)
  • Efficient Kernel Discriminant Analysis via QR Decomposition (2004)
  • Two-Dimensional Linear Discriminant Analysis (2004)