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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)

Adaptive Beam Search Decoding for Discrete Keyphrase Generation AAAI 2021 Adaptive Conformal Inference Under Distribution Shift NeurIPS 2021 Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021 Adaptive Curriculum Learning ICCV 2021 Adaptive Diffusion in Graph Neural Networks NeurIPS 2021 Adaptive Discretization for Adversarial Lipschitz Bandits COLT 2021 Adaptive estimation of nonparametric functionals JMLR 2021 Adaptive Extra-Gradient Methods for Min-Max Optimization and Games ICLR 2021 Adaptive Federated Optimization ICLR 2021 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021 Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021 Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021 Adaptive Machine Unlearning NeurIPS 2021 Adaptive Mixed Component LDA for Low Resource Topic Modeling EACL 2021 Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality ICML 2021 Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos EMNLP 2021 Adaptive Proximal Gradient Methods for Structured Neural Networks NeurIPS 2021 Adaptive Rank Estimate in Robust Principal Component Analysis CVPR 2021 Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021 Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021 Adaptive Sampling for Fast Constrained Maximization of Submodular Functions AISTATS 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement ICCV 2021