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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)

Hessian-Free Online Certified Unlearning ICLR 2025 Hessian Geometry of Latent Space in Generative Models ICML 2025 Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes AISTATS 2025 Heterogeneous Label Shift: Theory and Algorithm ICML 2025 Heterogeneous Sufficient Dimension Reduction and Subspace Clustering ICML 2025 HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment ICLR 2025 HFT: Half Fine-Tuning for Large Language Models ACL 2025 HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning ACL 2025 Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It ICML 2025 Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs AAAI 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting WACV 2025 Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs ICLR 2025 Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability ICML 2025 Hierarchical Refinement: Optimal Transport to Infinity and Beyond ICML 2025 Hierarchical Reinforcement Learning with Targeted Causal Interventions ICML 2025 Hierarchical Speculative Decoding with Dynamic Window NAACL 2025 Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging ICLR 2025 High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm ALT 2025 High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws ICLR 2025 High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching AISTATS 2025 High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025 High-Dimensional Prediction for Sequential Decision Making ICML 2025 High-Dimensional Tensor Regression With Oracle Properties ICML 2025 High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation ICLR 2025