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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)

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning EMNLP 2025 NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models IJCAI 2025 NSU_MILab at BLP-2025 Task 1: Decoding Bangla Hate Speech: Fine-Grained Type and Target Detection via Transformer Ensembles AACL 2025 NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel ICML 2025 NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval ICLR 2025 Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025 NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025 Nyström Kernel Stein Discrepancy AISTATS 2025 OAgents: An Empirical Study of Building Effective Agents EMNLP 2025 Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm NAACL 2025 OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference ICLR 2025 OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 ODE-based Smoothing Neural Network for Reinforcement Learning Tasks ICLR 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions ICLR 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025 Of Dice and Games: A Theory of Generalized Boosting COLT 2025 Offline Learning for Combinatorial Multi-armed Bandits ICML 2025 Offline Model-Based Optimization by Learning to Rank ICLR 2025 Offline Model-based Optimization for Real-World Molecular Discovery ICML 2025 Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics ICLR 2025 Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025 Offloaded Reasoning: Efficient Inference for Large Language Models via Modular Reasoning and Refinement EMNLP 2025 Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation ICML 2025