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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)

GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026 GOMPSNR: Reflourish the Signal-to-Noise Ratio Metric for Audio Generation Tasks AAAI 2026 Good-for-MDP State Reduction for Stochastic LTL Planning AAAI 2026 Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Gradient Span Algorithms Make Predictable Progress in High Dimension JMLR 2026 Gradient-Variation Regret Bounds for Unconstrained Online Learning COLT 2026 GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026 Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspective JMLR 2026 Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference UAI 2026 Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026 Graph Neural ODEs with Stability and Conservation Guarantees for Tumor Microenvironment Dynamics (Student Abstract) AAAI 2026 Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization AAAI 2026 Group Causal Policy Optimization for Post-Training Large Language Models AAAI 2026 Group-realizable multi-group learning by minimizing empirical risk ALT 2026 GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search WACV 2026 Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent JMLR 2026 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents AAAI 2026 GUI-G²: Gaussian Reward Modeling for GUI Grounding AAAI 2026 HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment AAAI 2026 HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization AAAI 2026 HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation CVPR 2026 HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction AAAI 2026 Hierarchical Causal Models JMLR 2026 Hierarchical Dataset Selection for High-Quality Data Sharing AAAI 2026