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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)

Parallel Continuous Chain-of-Thought with Jacobi Iteration EMNLP 2025 Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models ICML 2025 Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Parameter estimation in state space models using particle importance sampling AISTATS 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models NAACL 2025 Parameterized Blur Kernel Prior Learning for Local Motion Deblurring CVPR 2025 Parameterized Complexity of Caching in Networks AAAI 2025 Parametric Scaling Law of Tuning Bias in Conformal Prediction ICML 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 Paraphrase Generation Evaluation Powered by an LLM: A Semantic Metric, Not a Lexical One COLING 2025 Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning ACL 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization ICLR 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging ICML 2025 Pareto Set Identification With Posterior Sampling AISTATS 2025 ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization ICLR 2025 PARQ: Piecewise-Affine Regularized Quantization ICML 2025 Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration ICCV 2025 Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting AAAI 2025 Partial Information Decomposition for Data Interpretability and Feature Selection AISTATS 2025 Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025 Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization ICCV 2025