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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)

LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025 Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles ACL 2025 LICO: Large Language Models for In-Context Molecular Optimization ICLR 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios ACL 2025 Lifelong Knowledge Editing requires Better Regularization EMNLP 2025 Lifelong Scalable Generative System via Online Maximum Mean Discrepancy AAAI 2025 LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning ICLR 2025 LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning ICML 2025 Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models ICLR 2025 Lightspeed Geometric Dataset Distance via Sliced Optimal Transport ICML 2025 Likelihood Variance as Text Importance for Resampling Texts to Map Language Models EMNLP 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments ACL 2025 Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory ICLR 2025 Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data ICLR 2025 Linear Attention Modeling for Learned Image Compression CVPR 2025 Linear Bandits with Partially Observable Features ICML 2025 Linear combinations of latents in generative models: subspaces and beyond ICLR 2025 Linear Contextual Bandits With Interference ICML 2025 Linear Convergence of Diffusion Models Under the Manifold Hypothesis COLT 2025 Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge ICML 2025 Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025 Linear Equations with Min and Max Operators: Computational Complexity AAAI 2025 Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025