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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract) AAAI 2026 Adaptive Dynamic Dehazing via Instruction-Driven and Task-Feedback Closed-Loop Optimization for Diverse Downstream Task Adaptation AAAI 2026 Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026 Adaptive Evolutionary Fusion for Multi-View Clustering AAAI 2026 Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees AAAI 2026 Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs AAAI 2026 Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader COLT 2026 Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization COLT 2026 Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning AAAI 2026 Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes JMLR 2026 Adaptive Riemannian Graph Neural Networks AAAI 2026 Adaptive Weighted Averaging COLT 2026 AdaptViG: Adaptive Vision GNN with Exponential Decay Gating WACV 2026 A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026 A Distribution Testing Approach to Clustering Distributions COLT 2026 Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026 Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization AAAI 2026 Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards AAAI 2026 Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret COLT 2026 Adversarially Robust Multitask Adaptive Control L4DC 2026 AeroAgent: A Vision-Physics-Decision Framework for Aerodynamic Vehicle Design CVPR 2026 A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles AAAI 2026 A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026