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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
'5
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'15
'20
'25

Papers (including subtopics)

Online Competitive Influence Maximization AISTATS 2022 Online Continual Adaptation with Active Self-Training AISTATS 2022 Online Control of the False Discovery Rate under "Decision Deadlines" AISTATS 2022 Online Convolutional Re-Parameterization CVPR 2022 Online Decision Mediation NeurIPS 2022 Online Deep Equilibrium Learning for Regularization by Denoising NeurIPS 2022 Online Estimation and Control with Optimal Pathlength Regret L4DC 2022 Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future IJCAI 2022 Online Facility Location with Predictions ICLR 2022 Online Frank-Wolfe with Arbitrary Delays NeurIPS 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022 Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles AAAI 2022 Online Learning and Pricing for Network Revenue Management with Reusable Resources NeurIPS 2022 Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards ICML 2022 Online Learning for Unknown Partially Observable MDPs AISTATS 2022 Online Learning to Transport via the Minimal Selection Principle COLT 2022 Online Learning with Knapsacks: the Best of Both Worlds ICML 2022 Online Matching with Controllable Rewards and Arrival Probabilities IJCAI 2022 Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications NeurIPS 2022 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case JMLR 2022 Online Missing Value Imputation and Change Point Detection with the Gaussian Copula AAAI 2022 Online Neural Sequence Detection with Hierarchical Dirichlet Point Process NeurIPS 2022 Online Nonnegative CP-dictionary Learning for Markovian Data JMLR 2022 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022 Online PAC-Bayes Learning NeurIPS 2022