Optimization

Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Scale Adaptive Blind Deblurring NeurIPS 2014 Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014 Scene Labeling Using Beam Search Under Mutex Constraints CVPR 2014 SeamSeg: Video Object Segmentation using Patch Seams CVPR 2014 Second-Order Shape Optimization for Geometric Inverse Problems in Vision CVPR 2014 Self-Paced Learning with Diversity NeurIPS 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Shrinkage Fields for Effective Image Restoration CVPR 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Signal recovery from Pooling Representations ICML 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 Single Image Layer Separation using Relative Smoothness CVPR 2014 Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014