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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)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024 GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent AAAI 2024 Gradual Domain Adaptation: Theory and Algorithms JMLR 2024 Gradual Domain Adaptation via Gradient Flow ICLR 2024 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 Gradual Optimization Learning for Conformational Energy Minimization ICLR 2024 Grammar-Aligned Decoding NeurIPS 2024 GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data ICLR 2024 Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024 Graph Classification via Reference Distribution Learning: Theory and Practice NeurIPS 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Graph Edit Distance with General Costs Using Neural Set Divergence NeurIPS 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Graph Feedback Bandits with Similar Arms UAI 2024 Graph fission and cross-validation AISTATS 2024 Graph Geometry-Preserving Autoencoders ICML 2024 Graphical Multioutput Gaussian Process with Attention ICLR 2024 Graph Learning for Numeric Planning NeurIPS 2024 Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 Graph neural networks and non-commuting operators NeurIPS 2024