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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Matrix-Free Preconditioning in Online Learning ICML 2019 Maximin-Aware Allocations of Indivisible Goods IJCAI 2019 Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019 Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019 Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NeurIPS 2019 Maximum Likelihood Estimation for Learning Populations of Parameters ICML 2019 Maximum Mean Discrepancy Gradient Flow NeurIPS 2019 MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds NeurIPS 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019 Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019 Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians ICML 2019 Measuring and Modeling Language Change NAACL 2019 Measuring and regularizing networks in function space ICLR 2019 Measuring the Effects of Data Parallelism on Neural Network Training JMLR 2019 Measuring the Likelihood of Numerical Constraints IJCAI 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019 Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019 Memory Efficient Adaptive Optimization NeurIPS 2019 Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics CVPR 2019 Meta Architecture Search NeurIPS 2019 Meta-Curvature NeurIPS 2019 Metadata-driven Task Relation Discovery for Multi-task Learning IJCAI 2019