Optimization

DPPy: DPP Sampling with Python JMLR 2019 Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data ACL 2019 Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019 Dynamic Anchor Feature Selection for Single-Shot Object Detection ICCV 2019 Dynamic Experience Replay CoRL 2019 Dynamic Local Regret for Non-convex Online Forecasting NeurIPS 2019 Dynamic MRI Reconstruction with Motion-Guided Network MIDL 2019 Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks ICCV 2019 Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019 EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 Easy First Relation Extraction with Information Redundancy EMNLP 2019 Effective Dimensionality Reduction for Word Embeddings ACL 2019 Efficient Algorithms for Smooth Minimax Optimization NeurIPS 2019 Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NeurIPS 2019 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Efficient characterization of electrically evoked responses for neural interfaces NeurIPS 2019 Efficient Convex Relaxations for Streaming PCA NeurIPS 2019 Efficient Data Point Pruning for One-Class SVM AAAI 2019 Efficient Forward Architecture Search NeurIPS 2019 Efficient Full-Matrix Adaptive Regularization ICML 2019 Efficient Greedy Coordinate Descent for Composite Problems AISTATS 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Efficient Linear Bandits through Matrix Sketching AISTATS 2019 Efficiently avoiding saddle points with zero order methods: No gradients required NeurIPS 2019