Continuous Optimization

Low-Rank Approximations of Second-Order Document Representations CoNLL 2019 Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning EMNLP 2019 Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition CVPR 2019 Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019 MAGSAC: Marginalizing Sample Consensus CVPR 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019 Model Function Based Conditional Gradient Method with Armijo-like Line Search ICML 2019 Modeling Document-level Causal Structures for Event Causal Relation Identification NAACL 2019 Modification of Devoicing Error in Cleft Lip and Palate Speech Interspeech 2019 Modularity-based Sparse Soft Graph Clustering AISTATS 2019 Multi-Agent Pathfinding with Continuous Time IJCAI 2019 Multi-Criteria Dimensionality Reduction with Applications to Fairness NeurIPS 2019 Multi-Frequency Phase Synchronization ICML 2019 Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Near Neighbor: Who is the Fairest of Them All? NeurIPS 2019 Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019 Near-optimal method for highly smooth convex optimization COLT 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz p-th Derivatives COLT 2019 Necessary and Sufficient Geometries for Gradient Methods NeurIPS 2019 New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data NeurIPS 2019 Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019