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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)

o-MEGA: Optimized Methods for Explanation Generation and Analysis EMNLP 2025 OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration ICCV 2025 OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain EMNLP 2025 OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs ICLR 2025 OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent EMNLP 2025 On Action Theories with Iterable First-Order Progression AAAI 2025 On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025 On adaptivity and minimax optimality of two-sided nearest neighbors AISTATS 2025 On Bits and Bandits: Quantifying the Regret-Information Trade-off ICLR 2025 Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation ICLR 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 On Constant Regret for Low-Rank MDPs UAI 2025 On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory ICML 2025 OneBatchPAM: A Fast and Frugal K-Medoids Algorithm AAAI 2025 ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities ACL 2025 On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025 On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization ICML 2025 One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025 One Last Attention for Your Vision-Language Model ICCV 2025 One-Pass Feature Evolvable Learning with Theoretical Guarantees ICML 2025 One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning IJCNLP 2025 One-shot Federated Learning Methods: A Practical Guide IJCAI 2025 One Step Diffusion via Shortcut Models ICLR 2025