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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)

OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval AAAI 2026 Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation AAAI 2026 OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling AAAI 2026 Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions ALT 2026 Optimal Inference Schedules for Masked Diffusion Models COLT 2026 Optimal L2 Regularization in High-dimensional Continual Linear Regression ALT 2026 Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026 Optimal Neural Network Approximation of Smooth Compositional Functions on Sets with Low Intrinsic Dimension COLT 2026 Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions COLT 2026 Optimal Reconstruction from Linear Queries COLT 2026 Optimal Sample Complexity Lower Bounds on Conditional Independence Testing COLT 2026 Optimal Transport for Rectified Flow Image Editing: Unifying Inversion-Based and Direct Methods WACV 2026 Optimisation Problems in Constrained Machine Learning AAAI 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 Optimization and Robustness-Informed Membership Inference Attacks for LLMs AAAI 2026 Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution AAAI 2026 Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection EACL 2026 Optimizing against Infeasible Inclusions from Data for Semantic Segmentation through Morphology WACV 2026 Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget AAAI 2026 Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026 Optimizing Product Provenance Verification Using Data Valuation Methods AAAI 2026 Optimizing Urban Service Allocation with Time-Constrained Restless Bandits AAAI 2026 OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks AAAI 2026 OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization AAAI 2026