Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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8
13
8
24
100
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125
139
182
227
311
530
574
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676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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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