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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering RSS 2019 Asymptotics for Sketching in Least Squares Regression NeurIPS 2019 Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019 Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019 Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence IJCAI 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Theory of Regularized Markov Decision Processes ICML 2019 A Theory of Selective Prediction COLT 2019 A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity ALT 2019 A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019 A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes ICML 2019 Attention, Learn to Solve Routing Problems! ICLR 2019 Attribute-efficient learning of monomials over highly-correlated variables ALT 2019 A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem AAAI 2019 AUCμ: A Performance Metric for Multi-Class Machine Learning Models ICML 2019 A Unified Approach to Online Matching with Conflict-Aware Constraints AAAI 2019 A Unified Mathematical Approach for Foraging and Construction Systems in a 1,000,000 Robot Swarm IJCAI 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening NeurIPS 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 Autoencoding any Data through Kernel Autoencoders AISTATS 2019 Automatic Construction of Parallel Portfolios via Explicit Instance Grouping AAAI 2019 A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NeurIPS 2019