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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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'25

Papers (including subtopics)

Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning EMNLP 2025 Learning Latent Graph Structures and their Uncertainty ICML 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Learning Likelihood-Free Reference Priors ICML 2025 Learning Mask Invariant Mutual Information for Masked Image Modeling ICLR 2025 Learning Mixtures of Experts with EM: A Mirror Descent Perspective ICML 2025 Learning Mixtures of Gaussians Using Diffusion Models COLT 2025 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics ICLR 2025 Learning multivariate Gaussians with imperfect advice ICML 2025 Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees ICLR 2025 Learning on Model Weights using Tree Experts CVPR 2025 Learning Optimal Multimodal Information Bottleneck Representations ICML 2025 Learning Optimal Oblique Decision Trees with (Max)SAT IJCAI 2025 Learning Parametric Distributions from Samples and Preferences ICML 2025 Learning Partial Graph Matching via Optimal Partial Transport ICLR 2025 Learning Partitions with Optimal Query and Round Complexities COLT 2025 Learning Personalized Decision Support Policies AAAI 2025 Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation CVPR 2025 Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks ICML 2025 Learning Probabilistic Temporal Logic Specifications for Stochastic Systems IJCAI 2025 Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN NSDI 2025 Learning Randomized Algorithms with Transformers ICLR 2025 Learning Regularization for Graph Inverse Problems AAAI 2025 Learning Safe Control via On-the-Fly Bandit Exploration ICML 2025