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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)

Uncertainty Quantification for Evaluating Gender Bias in Machine Translation EACL 2026 Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026 Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models WACV 2026 Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026 Underdamped Langevin MCMC with third order convergence JMLR 2026 Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective AAAI 2026 UniAPO: Unified Multimodal Automated Prompt Optimization AAAI 2026 Unified Control for Inference-Time Guidance of Denoising Diffusion Models WACV 2026 Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning COLT 2026 Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees AAAI 2026 Uniform Convergence Beyond Glivenko-Cantelli ALT 2026 Uniform Laws of Large Numbers in Product Spaces COLT 2026 UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2026 Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing AAAI 2026 Universality of high-dimensional scaling limits of stochastic gradient descent (extended abstract) COLT 2026 Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows AAAI 2026 Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between WACV 2026 Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening AAAI 2026 Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models AAAI 2026 Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models AAAI 2026 UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective AAAI 2026 Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT AAAI 2026 Unsupervised Text Style Transfer for Controllable Intensity EACL 2026 Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning AAAI 2026 UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning AAAI 2026