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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)

One-Step Generalization Ratio Guided Optimization for Domain Generalization ICML 2025 One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025 One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy ICML 2025 On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025 On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding ICML 2025 On Finding Hubs in High Dimensions with Sampling AAAI 2025 On Generalization Across Environments In Multi-Objective Reinforcement Learning ICLR 2025 On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures ACL 2025 On Generalization Bounds for Neural Networks with Low Rank Layers ALT 2025 On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025 On Independence and SCC-Recursiveness in Assumption-Based Argumentation IJCAI 2025 On Inference for the Support Vector Machine JMLR 2025 On Learning Parallel Pancakes with Mostly Uniform Weights ICML 2025 Online and Streaming Algorithms for Constrained k-Submodular Maximization AAAI 2025 Online Assortment and Price Optimization Under Contextual Choice Models AISTATS 2025 Online Clustering of Dueling Bandits ICML 2025 Online Conformal Prediction via Online Optimization ICML 2025 Online Convex Optimization with a Separation Oracle COLT 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation COLT 2025 Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning ICML 2025 Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting ICML 2025 Online Differentially Private Conformal Prediction for Uncertainty Quantification ICML 2025 ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS ICLR 2025 Online Generalized Magician’s Problem with Multiple Workers UAI 2025 Online Laplacian-Based Representation Learning in Reinforcement Learning ICML 2025