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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)

Towards counterfactual fairness through auxiliary variables ICLR 2025 Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges COLING 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Effective Evaluations and Comparisons for LLM Unlearning Methods ICLR 2025 Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025 Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework AAAI 2025 Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach IJCAI 2025 Towards Explainable Hate Speech Detection ACL 2025 Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming ICLR 2025 Towards Fair Representation: Clustering and Consensus COLT 2025 Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025 Towards Foundation Models for Mixed Integer Linear Programming ICLR 2025 Towards Fundamental Limits for Active Multi-distribution Learning COLT 2025 Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations IJCAI 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025 Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025 Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey EMNLP 2025 Towards hyperparameter-free optimization with differential privacy ICLR 2025 Towards Improved Risk Bounds for Transductive Learning IJCAI 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Towards Lifelong Model Editing via Simulating Ideal Editor ICML 2025 Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond ICML 2025 Towards Marginal Fairness Sliced Wasserstein Barycenter ICLR 2025 Towards Memorization Estimation: Fast, Formal and Free ICML 2025 Towards Multi-System Log Anomaly Detection ACL 2025