Optimization

Quantum Perceptron Models NeurIPS 2016 Random Features for Sparse Signal Classification CVPR 2016 Rapid Update of Multilingual Deep Neural Network for Low-Resource Keyword Search Interspeech 2016 Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices JMLR 2016 Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates NeurIPS 2016 Recovery guarantee of weighted low-rank approximation via alternating minimization ICML 2016 Regularized Nonlinear Acceleration NeurIPS 2016 Relaxation-Based Preprocessing Techniques for Markov Random Field Inference CVPR 2016 Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering Interspeech 2016 Revisiting the Nyström Method for Improved Large-scale Machine Learning JMLR 2016 Reward Augmented Maximum Likelihood for Neural Structured Prediction NeurIPS 2016 Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA AISTATS 2016 Robust Kernel Estimation With Outliers Handling for Image Deblurring CVPR 2016 Robust Multi-Body Feature Tracker: A Segmentation-Free Approach CVPR 2016 Robust Optical Flow Estimation of Double-Layer Images Under Transparency or Reflection CVPR 2016 Robust Principal Component Analysis with Side Information ICML 2016 Rounding-based Moves for Semi-Metric Labeling JMLR 2016 Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms RSS 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Satisfying Real-world Goals with Dataset Constraints NeurIPS 2016 Scalable Adaptive Stochastic Optimization Using Random Projections NeurIPS 2016 Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters ICML 2016 Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016 Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics JMLR 2016 SDCA without Duality, Regularization, and Individual Convexity ICML 2016