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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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'25

Papers (including subtopics)

A Generalization Result for Convergence in Learning-to-Optimize ICML 2025 A Generalized Theory of Mixup for Structure-Preserving Synthetic Data AISTATS 2025 A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems EMNLP 2025 A Generic Continuous Multi-Joint Spinal Robotic System for Agile and Accurate Behaviors with GNN-MPC method RSS 2025 A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity ICML 2025 A Generic Framework for Conformal Fairness ICLR 2025 Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025 AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration EMNLP 2025 Agent-Oriented Planning in Multi-Agent Systems ICLR 2025 AgentPro: Enhancing LLM Agents with Automated Process Supervision EMNLP 2025 AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025 AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation AAAI 2025 Agnostic Learning of Arbitrary ReLU Activation under Gaussian Marginals COLT 2025 Agnostic Private Density Estimation for GMMs via List Global Stability ALT 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions AISTATS 2025 Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding IJCNLP 2025 Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence ICLR 2025 A Grounded Typology of Word Classes NAACL 2025 A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs AISTATS 2025 A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025 A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract) AAAI 2025 AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning AAAI 2025 AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025 Aioli: A Unified Optimization Framework for Language Model Data Mixing ICLR 2025