Mathematics & Optimization

The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014 The Geometry of Losses COLT 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014 Thompson Sampling for Complex Online Problems ICML 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Tight Continuous Relaxation of the Balanced k-Cut Problem NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014 Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014 Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium CVPR 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Towards building a Crowd-Sourced Sky Map AISTATS 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014 Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014 Trinocular Geometry Revisited CVPR 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Two-View Camera Housing Parameters Calibration for Multi-Layer Flat Refractive Interface CVPR 2014 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014 Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms ICML 2014 Uniqueness of Ordinal Embedding COLT 2014