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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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828
3,646
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2000
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Papers (including subtopics)

Group Delay Based Re-Weighted Sparse Recovery Algorithms for Robust and High-Resolution Source Separation in DOA Framework Interspeech 2021 Group Softmax Loss With Discriminative Feature Grouping WACV 2021 Group testing and local search: is there a computational-statistical gap? COLT 2021 Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021 Group-Wise Inhibition Based Feature Regularization for Robust Classification ICCV 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification ICLR 2021 GTM: A Generative Triple-wise Model for Conversational Question Generation ACL 2021 G-Transformer for Document-Level Machine Translation ACL 2021 Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021 Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders MIDL 2021 Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021 Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling NeurIPS 2021 Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021 HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search ICML 2021 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models JMLR 2021 Hardware-friendly Deep Learning by Network Quantization and Binarization IJCAI 2021 Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures AAAI 2021 Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection EACL 2021 Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds ICLR 2021 Heavy Ball Momentum for Conditional Gradient NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks NeurIPS 2021 Hessian Eigenspectra of More Realistic Nonlinear Models NeurIPS 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NeurIPS 2021 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization ICLR 2021