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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)

Advocating Character Error Rate for Multilingual ASR Evaluation NAACL 2025 A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks ICML 2025 A Dynamic Fusion Model for Consistent Crisis Response EMNLP 2025 Aerial Coverage Path Planning in Nuclear Emergencies IJCAI 2025 Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training AAAI 2025 Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization CVPR 2025 A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes IJCAI 2025 AffinityFlow: Guided Flows for Antibody Affinity Maturation ICML 2025 A Fine-grained Characterization of PAC Learnability COLT 2025 A First-order Generative Bilevel Optimization Framework for Diffusion Models ICML 2025 A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update IJCAI 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 AFlow: Automating Agentic Workflow Generation ICLR 2025 A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control ICML 2025 A Formal Analysis of Chain-of-Thought Prompting via Turing Reductions IJCNLP 2025 A Formal Framework for Understanding Length Generalization in Transformers ICLR 2025 A Formal Theory of Optimal Learning with Experimental Results IJCAI 2025 A Framework for Effective Invocation Methods of Various LLM Services COLING 2025 A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment ACL 2025 A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm ICCV 2025 A Game-Theoretic Perspective on Inconsistency Handling IJCAI 2025 A General Framework for Inference-time Scaling and Steering of Diffusion Models ICML 2025 A Generalizable Anomaly Detection Method in Dynamic Graphs AAAI 2025 A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments ICML 2025