Optimization

Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017 Follow the Moving Leader in Deep Learning ICML 2017 Generalized Conditional Gradient for Sparse Estimation JMLR 2017 Geometric Descent Method for Convex Composite Minimization NeurIPS 2017 Global Optimality in Neural Network Training CVPR 2017 Graph Matching via Multiplicative Update Algorithm NeurIPS 2017 Improved Training of Wasserstein GANs NeurIPS 2017 Improving Interpretability of Deep Neural Networks With Semantic Information CVPR 2017 Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition Interspeech 2017 Non-convex Finite-Sum Optimization Via SCSG Methods NeurIPS 2017 On Blackbox Backpropagation and Jacobian Sensing NeurIPS 2017 On the Flatness of Loss Surface for Two-layered ReLU Networks ACML 2017 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation CVPR 2017 Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Riemannian approach to batch normalization NeurIPS 2017 Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017 Single Image Reflection Suppression CVPR 2017 Sobolev Training for Neural Networks NeurIPS 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning NeurIPS 2017 Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages Interspeech 2017 Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NeurIPS 2017