Optimization

Robust Video Stabilization by Optimization in CNN Weight Space CVPR 2019 RSN: Randomized Subspace Newton NeurIPS 2019 Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019 Self-Supervised 3D Hand Pose Estimation Through Training by Fitting CVPR 2019 Snapshot Distillation: Teacher-Student Optimization in One Generation CVPR 2019 Sobolev Independence Criterion NeurIPS 2019 Sparse Adversarial Perturbations for Videos AAAI 2019 Speculative Beam Search for Simultaneous Translation EMNLP 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stochastic Gradient Descent Learns State Equations with Nonlinear Activations COLT 2019 Stochastic Gradient Push for Distributed Deep Learning ICML 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations ICLR 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NeurIPS 2019 Taking a Deeper Look at the Inverse Compositional Algorithm CVPR 2019 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 Theoretical Analysis of Auto Rate-Tuning by Batch Normalization ICLR 2019 TIGS: An Inference Algorithm for Text Infilling with Gradient Search ACL 2019 Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019 Truly Proximal Policy Optimization UAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019 Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration AAAI 2019 Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model NeurIPS 2019