Optimization

The Bigraphical Lasso ICML 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 The Fast Convergence of Incremental PCA NeurIPS 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 The Variational Structure of Disparity and Regularization of 4D Light Fields CVPR 2013 Topic Discovery through Data Dependent and Random Projections ICML 2013 Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013 Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization CVPR 2013 Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NeurIPS 2013 Underwater Camera Calibration Using Wavelength Triangulation CVPR 2013 Unfolding Latent Tree Structures using 4th Order Tensors ICML 2013 Universality of the Local Marginal Polytope CVPR 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 What is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search? ICCV 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Why Steiner-tree type algorithms work for community detection AISTATS 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 Accuracy at the Top NeurIPS 2012 A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Active Learning of Multi-Index Function Models NeurIPS 2012 Adaptive MCMC with Bayesian Optimization AISTATS 2012