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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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'25

Papers (including subtopics)

On kernel-based statistical learning theory in the mean field limit NeurIPS 2023 On Kinetic Optimal Probability Paths for Generative Models ICML 2023 On Learning Latent Models with Multi-Instance Weak Supervision NeurIPS 2023 On Learning Necessary and Sufficient Causal Graphs NeurIPS 2023 On Learning Rates and Schrödinger Operators JMLR 2023 Online Ad Allocation with Predictions NeurIPS 2023 Online Ad Procurement in Non-stationary Autobidding Worlds NeurIPS 2023 Online Boundary-Free Continual Learning by Scheduled Data Prior ICLR 2023 Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023 Online Constrained Meta-Learning: Provable Guarantees for Generalization NeurIPS 2023 Online Control for Meta-optimization NeurIPS 2023 Online Convex Optimization with Unbounded Memory NeurIPS 2023 Online Corrupted User Detection and Regret Minimization NeurIPS 2023 Online estimation of similarity matrices with incomplete data UAI 2023 Online Estimation of the Koopman Operator Using Fourier Features L4DC 2023 Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification IJCAI 2023 Online Heavy-tailed Change-point detection UAI 2023 Online Hyperparameter Optimization for Class-Incremental Learning AAAI 2023 Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NeurIPS 2023 Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023 Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023 Online Learning for Traffic Navigation in Congested Networks ALT 2023 Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Online Learning in Dynamically Changing Environments COLT 2023