Geometry

Minimax Manifold Estimation JMLR 2012 Minimax rates for homology inference AISTATS 2012 Multi-task Vector Field Learning NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 An Art Gallery Approach to Ensuring that Landmarks are Distinguishable RSS 2011 Convergent Bounds on the Euclidean Distance NeurIPS 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011 Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NeurIPS 2011 Directional Statistics on Permutations AISTATS 2011 Fast Trajectory Correction for Nonholonomic Mobile Robots using Affine Transformations RSS 2011 Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011 Semi-supervised Learning by Higher Order Regularization AISTATS 2011 Characterization, Stability and Convergence of Hierarchical Clustering Methods JMLR 2010 Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Random Projection Trees Revisited NeurIPS 2010 Singularity-invariant leg rearrangements in doubly-planar Stewart-Gough platforms RSS 2010 The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis RSS 2010 Inner sphere trees for proximity and penetration queries RSS 2009 On the complexity of the set of three-finger caging grasps of convex polygons RSS 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Manifold Learning: The Price of Normalization JMLR 2008