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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)

Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs ICLR 2025 Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution AAAI 2025 Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction EMNLP 2025 Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training ICLR 2025 Efficiently Access Diffusion Fisher: Within the Outer Product Span Space ICML 2025 Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows AAAI 2025 Efficiently Escaping Saddle Points for Policy Optimization UAI 2025 Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025 Efficiently learning and sampling multimodal distributions with data-based initialization COLT 2025 Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025 Efficiently Vectorized MCMC on Modern Accelerators ICML 2025 Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025 Efficient Methods for Non-stationary Online Learning JMLR 2025 Efficient Model Editing with Task-Localized Sparse Fine-tuning ICLR 2025 Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025 Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination ICML 2025 Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025 Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries COLT 2025 Efficient Network Automatic Relevance Determination ICML 2025 Efficient Noise Calculation in Deep Learning-based MRI Reconstructions ICML 2025 Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025 Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games ICLR 2025 Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025 Efficient Optimal PAC Learning ALT 2025 Efficient Optimization Algorithms for Linear Adversarial Training AISTATS 2025