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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 Characterization of the Generalization Error for Iterative Semi-Supervised Learning JMLR 2022 Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification JMLR 2022 Information-Theoretic GAN Compression with Variational Energy-based Model NeurIPS 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022 Information-Transport-based Policy for Simultaneous Translation EMNLP 2022 Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity ICML 2022 Inherent Tradeoffs in Learning Fair Representations JMLR 2022 Injecting Logical Constraints into Neural Networks via Straight-Through Estimators ICML 2022 Input Dependent Sparse Gaussian Processes ICML 2022 Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits L4DC 2022 Instability and Local Minima in GAN Training with Kernel Discriminators NeurIPS 2022 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees NeurIPS 2022 Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation CVPR 2022 Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design NeurIPS 2022 Instance Dependent Regret Analysis of Kernelized Bandits ICML 2022 Instance-optimal PAC Algorithms for Contextual Bandits NeurIPS 2022 Instance Selection: A Bayesian Decision Theory Perspective AAAI 2022 Instrumental Variable Regression with Confounder Balancing ICML 2022 Integral Probability Metrics PAC-Bayes Bounds NeurIPS 2022 Integrating Machine Learning and Optimization to Boost Decision Making IJCAI 2022 Intelligent Camera Selection Decisions for Target Tracking in a Camera Network WACV 2022 Interaction and Expressivity in Collective Decision-Making IJCAI 2022 Interactive rank testing by betting CLeaR 2022 Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations ACL 2022 Interlocking Backpropagation: Improving depthwise model-parallelism JMLR 2022