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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)

MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026 Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling AAAI 2026 Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026 Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin UAI 2026 Nearly Linear-Time User-Level DP-SCO with Optimal Rates COLT 2026 Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026 Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games L4DC 2026 Near-optimal Delta-convex Estimation of Lipschitz Functions JMLR 2026 Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach COLT 2026 Near-optimal Swap Regret Minimization for Convex Losses COLT 2026 Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning EACL 2026 NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint) AAAI 2026 Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026 Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning AAAI 2026 Neural Geometry Image-Based Representations with Optimal Transport (OT) WACV 2026 Neural Tangent Kernels Under Stochastic Data Augmentation AAAI 2026 Neural Video Compression with Reference Hierarchy AAAI 2026 Next Generation of Empirical Performance Prediction AAAI 2026 NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation AAAI 2026 Nonparametric generative modeling for time series via Schrödinger bridge JMLR 2026 No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding AAAI 2026 No Scale Sensitive Dimension for Distribution Learning ALT 2026 Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization AAAI 2026 NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning EACL 2026 ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026