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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)

Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing AAAI 2022 OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification EMNLP 2022 Outcome Assumptions and Duality Theory for Balancing Weights AISTATS 2022 Outlier-Aware Training for Improving Group Accuracy Disparities AACL 2022 Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data AAAI 2022 Outlier Dimensions that Disrupt Transformers are Driven by Frequency EMNLP 2022 Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022 Outlier-Robust Sparse Estimation via Non-Convex Optimization NeurIPS 2022 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NeurIPS 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022 Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022 Overcoming a Theoretical Limitation of Self-Attention ACL 2022 Overcoming Oscillations in Quantization-Aware Training ICML 2022 Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022 Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation NAACL 2022 Overparameterization from Computational Constraints NeurIPS 2022 Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis JMLR 2022 Owl: Scale and Flexibility in Distribution of Hot Content OSDI 2022 P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision CVPR 2022 PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization NeurIPS 2022 PAC-Bayesian Bounds on Rate-Efficient Classifiers ICML 2022 PAC-Bayesian domain adaptation bounds for multiclass learners UAI 2022 PAC-Bayes Information Bottleneck ICLR 2022 PAC Guarantees and Effective Algorithms for Detecting Novel Categories JMLR 2022