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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)

Invasion Dynamics in the Biased Voter Process IJCAI 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022 Inverse Design for Fluid-Structure Interactions using Graph Network Simulators NeurIPS 2022 Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NeurIPS 2022 Invertible Monotone Operators for Normalizing Flows NeurIPS 2022 Investigating and Explaining the Frequency Bias in Image Classification IJCAI 2022 Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics ACL 2022 Investigating Generalization by Controlling Normalized Margin ICML 2022 Investigating Information-Theoretic Properties of the Typology of Spatial Demonstratives NAACL 2022 Investigating phonetic convergence of laughter in conversation Interspeech 2022 Investigating phonological theories with crowd-sourced data: The Inventory Size Hypothesis in the light of Lingua Libre NAACL 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 Investigating Top-k White-Box and Transferable Black-Box Attack CVPR 2022 Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022 In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS 2022 Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS 2022 Is a Modular Architecture Enough? NeurIPS 2022 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022 Is Discourse Role Important for Emotion Recognition in Conversation? AAAI 2022 Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR 2022 Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS 2022 ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior CVPR 2022 Is Out-of-Distribution Detection Learnable? NeurIPS 2022 Is Sortition Both Representative and Fair? NeurIPS 2022 Iterated Vector Fields and Conservatism, with Applications to Federated Learning ALT 2022