Optimization

Submodular Optimization over Streams with Inhomogeneous Decays AAAI 2019 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NeurIPS 2019 Subspace Robust Wasserstein Distances ICML 2019 Subspace Selection via DR-Submodular Maximization on Lattices AAAI 2019 Supervised Community Detection with Line Graph Neural Networks ICLR 2019 Supervised User Ranking in Signed Social Networks AAAI 2019 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NeurIPS 2019 SWALP : Stochastic Weight Averaging in Low Precision Training ICML 2019 SySCD: A System-Aware Parallel Coordinate Descent Algorithm NeurIPS 2019 Systematic Handling of Heterogeneous Geometric Primitives in Graph-SLAM Optimization RSS 2019 Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019 Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019 Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019 Temporal Anomaly Detection: Calibrating the Surprise AAAI 2019 Tensor Decomposition for Multilayer Networks Clustering AAAI 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019 The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019 The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019 The Complexity of Making the Gradient Small in Stochastic Convex Optimization COLT 2019 The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies NeurIPS 2019 The Domain Transform Solver CVPR 2019 The Evolved Transformer ICML 2019 The Influence of Down-Sampling Strategies on SVD Word Embedding Stability NAACL 2019