← Optimization & Theory
Deep Learning › Optimization & Theory ›

Optimization

1638 directly classified papers

Papers per year

Papers

Riemannian approach to batch normalization NIPS 2017
Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NIPS 2017
Sobolev Training for Neural Networks NIPS 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning NIPS 2017
Non-convex Finite-Sum Optimization Via SCSG Methods NIPS 2017
Improved Training of Wasserstein GANs NIPS 2017
On Blackbox Backpropagation and Jacobian Sensing NIPS 2017
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017
Geometric Descent Method for Convex Composite Minimization NIPS 2017
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NIPS 2017
Graph Matching via Multiplicative Update Algorithm NIPS 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NIPS 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017
Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting CVPR 2017
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation CVPR 2017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017
Generalized Conditional Gradient for Sparse Estimation JMLR 2017
Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017
Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition INTERSPEECH 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017