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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)

Optimal Bounds for Johnson-Lindenstrauss Transformations JMLR 2018 Optimal Cooperative Inference AISTATS 2018 Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018 Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models COLT 2018 Optimality of Approximate Inference Algorithms on Stable Instances AISTATS 2018 Optimal Multi-Attribute Decision Making in Social Choice Problems IJCAI 2018 Optimal Quantum Sample Complexity of Learning Algorithms JMLR 2018 Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018 Optimal Submodular Extensions for Marginal Estimation AISTATS 2018 Optimal Subsampling with Influence Functions NeurIPS 2018 Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data ICML 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018 Optimization based Layer-wise Magnitude-based Pruning for DNN Compression IJCAI 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 Optimization for Approximate Submodularity NeurIPS 2018 Optimization Landscape and Expressivity of Deep CNNs ICML 2018 Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates NeurIPS 2018 Optimization over Continuous and Multi-dimensional Decisions with Observational Data NeurIPS 2018 Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition CVPR 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018 Orthogonally Decoupled Variational Gaussian Processes NeurIPS 2018 Orthogonal Machine Learning: Power and Limitations ICML 2018 Orthogonal Matching Pursuit for Text Classification EMNLP 2018 Orthogonal Recurrent Neural Networks with Scaled Cayley Transform ICML 2018 Outlier Detection and Robust Estimation in Nonparametric Regression AISTATS 2018