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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)

TorchCP: A Python Library for Conformal Prediction JMLR 2025 TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining ICLR 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025 Toward a Unified Theory of Gradient Descent under Generalized Smoothness ICML 2025 Toward Automatic Discovery of a Canine Phonetic Alphabet ACL 2025 Toward Interpretable Time Series Modeling: A Kernel Representation Perspective IJCAI 2025 Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025 Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge ICCV 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Towards a Complete Logical Framework for GNN Expressiveness ICLR 2025 Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving EMNLP 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025 Towards a learning theory of representation alignment ICLR 2025 Towards a Principled Evaluation of Knowledge Editors ACL 2025 Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective ICLR 2025 Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization ICLR 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 Towards Bridging Generalization and Expressivity of Graph Neural Networks ICLR 2025 Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025 Towards Codec-LM Co-design for Neural Codec Language Models NAACL 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters CVPR 2025