Optimization

Scene Labeling Using Beam Search Under Mutex Constraints CVPR 2014 Separable Kernel for Image Deblurring CVPR 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NeurIPS 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013 A message-passing algorithm for multi-agent trajectory planning NeurIPS 2013 A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments CVPR 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013 Constant Time Weighted Median Filtering for Stereo Matching and Beyond ICCV 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Designed Measurements for Vector Count Data NeurIPS 2013 Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point CVPR 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 Efficient Learning of Simplices COLT 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013 Estimation, Optimization, and Parallelism when Data is Sparse NeurIPS 2013 Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization ICML 2013 Fast Probabilistic Optimization from Noisy Gradients ICML 2013