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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)

Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions AISTATS 2025 Adaptive Flow Matching for Resolving Small-Scale Physics ICML 2025 Adaptive Gradient Clipping for Robust Federated Learning ICLR 2025 Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics IJCAI 2025 Adaptive Graph Unlearning IJCAI 2025 Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models AAAI 2025 Adaptive kernel predictors from feature-learning infinite limits of neural networks ICML 2025 Adaptive Keyframe Sampling for Long Video Understanding CVPR 2025 Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection ICML 2025 Adaptive LLM Routing under Budget Constraints EMNLP 2025 Adaptive Localization of Knowledge Negation for Continual LLM Unlearning ICML 2025 Adaptively profiling models with task elicitation EMNLP 2025 Adaptive Market Making with Inventory Constraints via Online Learning AAAI 2025 Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching ICML 2025 Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise ICLR 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025 Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training CVPR 2025 Adaptive Partitioning Schemes for Optimistic Optimization ICML 2025 Adaptive Preference Optimization with Uncertainty-aware Utility Anchor EMNLP 2025 Adaptive Pruning of Pretrained Transformer via Differential Inclusions ICLR 2025 Adaptive Sample Sharing for Multi Agent Linear Bandits ICML 2025 Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025 Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence AAAI 2025 Adaptive teachers for amortized samplers ICLR 2025 AdaptThink: Reasoning Models Can Learn When to Think EMNLP 2025