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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

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

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NeurIPS 2020 Information theoretic limits of learning a sparse rule NeurIPS 2020 Information-Theoretic Local Minima Characterization and Regularization ICML 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020 Information-Theoretic Probing for Linguistic Structure ACL 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 Information Theoretic Regret Bounds for Online Nonlinear Control NeurIPS 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020 Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models ICLR 2020 In search of robust measures of generalization NeurIPS 2020 InstaNAS: Instance-Aware Neural Architecture Search AAAI 2020 Instance Based Approximations to Profile Maximum Likelihood NeurIPS 2020 Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise AAAI 2020 Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NeurIPS 2020 Instantaneous Time Delay Estimation of Broadband Signals Interspeech 2020 Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients NeurIPS 2020 Integrating Relation Constraints with Neural Relation Extractors AAAI 2020 Intelligent Virtual Machine Provisioning in Cloud Computing IJCAI 2020 Interactive Learning of a Dynamic Structure ALT 2020 Interactive Multi-Label CNN Learning With Partial Labels CVPR 2020 Inter-domain Deep Gaussian Processes ICML 2020 Interference and Generalization in Temporal Difference Learning ICML 2020 Interior Point Solving for LP-based prediction+optimisation NeurIPS 2020 Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NeurIPS 2020 Interpretable Models for Understanding Immersive Simulations IJCAI 2020