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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)

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025 Mitigating Label Length Bias in Large Language Models IJCNLP 2025 Mitigating Memorization in Language Models ICLR 2025 Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025 MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES ICML 2025 Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion ACL 2025 Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn ICML 2025 Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding ACL 2025 Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning ACL 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025 Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality (Extended Abstract) COLT 2025 Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025 Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN ICLR 2025 MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora EMNLP 2025 MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures ICLR 2025 MixMin: Finding Data Mixtures via Convex Minimization ICML 2025 Mixture Compressor for Mixture-of-Experts LLMs Gains More ICLR 2025 Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning EMNLP 2025 Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning ICML 2025 Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 2025 Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025