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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)

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems IJCAI 2025 PETRA: Parallel End-to-end Training with Reversible Architectures ICLR 2025 PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores ICLR 2025 pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization ACL 2025 Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness ICML 2025 Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025 Phase transitions for the existence of unregularized M-estimators in single index models ICML 2025 PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint IJCNLP 2025 PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems ICLR 2025 Physical Adversarial Camouflage Through Gradient Calibration and Regularization IJCAI 2025 Physics-aligned field reconstruction with diffusion bridge ICLR 2025 Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction IJCAI 2025 Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis IJCAI 2025 Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization RSS 2025 Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science AAAI 2025 Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics JMLR 2025 Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification ICML 2025 Physics-Informed Diffusion Models ICLR 2025 Physics-Informed Generative Modeling of Wireless Channels ICML 2025 Physics-informed Kernel Learning JMLR 2025 Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025 Physics-Informed Weakly Supervised Learning For Interatomic Potentials ICML 2025 Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws ICLR 2025