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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)

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts ACL 2025 Let LLM Tell What to Prune and How Much to Prune ICML 2025 Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model ICLR 2025 Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025 LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025 Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability EMNLP 2025 Let the Code LLM Edit Itself When You Edit the Code ICLR 2025 Level Set Teleportation: An Optimization Perspective AISTATS 2025 Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding EMNLP 2025 Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry AAAI 2025 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation CoRL 2025 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025 Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD ICLR 2025 Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025 Leveraging Offline Data in Linear Latent Contextual Bandits ICML 2025 Leveraging Per-Instance Privacy for Machine Unlearning ICML 2025 Leveraging Randomness in Model and Data Partitioning for Privacy Amplification ICML 2025 Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective ICML 2025 Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs ICLR 2025 Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025 Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization ICLR 2025 LEVIS: Large Exact Verifiable Input Spaces for Neural Networks ICML 2025 Lexical Recall or Logical Reasoning: Probing the Limits of Reasoning Abilities in Large Language Models ACL 2025 Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound JMLR 2025 LiBOG: Lifelong Learning for Black-Box Optimizer Generation IJCAI 2025