Optimization

Sharpness, Restart and Acceleration NeurIPS 2017 Sharp Oracle Inequalities for Square Root Regularization JMLR 2017 Should Robots be Obedient? IJCAI 2017 Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair CVPR 2017 Single Image Reflection Suppression CVPR 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Smoothing Method for Approximate Extensive-Form Perfect Equilibrium IJCAI 2017 Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NeurIPS 2017 Solving Most Systems of Random Quadratic Equations NeurIPS 2017 Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms EMNLP 2017 Sparse Accelerated Exponential Weights AISTATS 2017 Sparse Communication for Distributed Gradient Descent EMNLP 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017 Spatial Decompositions for Large Scale SVMs AISTATS 2017 Speech Enhancement Based on Harmonic Estimation Combined with MMSE to Improve Speech Intelligibility for Cochlear Implant Recipients Interspeech 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017 Stabilized Sparse Online Learning for Sparse Data JMLR 2017 Stein Variational Gradient Descent as Gradient Flow NeurIPS 2017 Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization CVPR 2017 StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017 Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017 Stochastic and Adversarial Online Learning without Hyperparameters NeurIPS 2017 Stochastic Approximation for Canonical Correlation Analysis NeurIPS 2017