Numerical Analysis

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014 Signal recovery from Pooling Representations ICML 2014 Subspace Embeddings for the Polynomial Kernel NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 Adaptive Compressed Tomography Sensing CVPR 2013 Approximating the Permanent with Fractional Belief Propagation JMLR 2013 A Practical Rank-Constrained Eight-Point Algorithm for Fundamental Matrix Estimation CVPR 2013 Dense Non-rigid Point-Matching Using Random Projections CVPR 2013 Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems CVPR 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013 New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013 Revisiting the PnP Problem: A Fast, General and Optimal Solution ICCV 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013 Truncated Power Method for Sparse Eigenvalue Problems JMLR 2013 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 Approximating Semidefinite Programs in Sublinear Time NeurIPS 2011 Orthogonal Matching Pursuit with Replacement NeurIPS 2011 Design and Optimization Strategies for Muscle-Like Direct Drive Linear Permanent Magnet Motors RSS 2010