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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)

Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size ACML 2025 Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel ICLR 2025 Faster Double Adaptive Gradient Methods AAAI 2025 FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection CVPR 2025 Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding EMNLP 2025 Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling ICLR 2025 Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method COLT 2025 Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree ACL 2025 Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching ICML 2025 Fast Exact Unlearning for In-Context Learning Data for LLMs ICML 2025 Fast Globally Optimal and Geometrically Consistent 3D Shape Matching ICCV 2025 Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm IJCAI 2025 FastMCTS: A Simple Sampling Strategy for Data Synthesis ACL 2025 Fast Non-convex Matrix Sensing with Optimal Sample Complexity UAI 2025 Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models EMNLP 2025 FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction ICCV 2025 Fast Quiet-STaR: Thinking Without Thought Tokens EMNLP 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 Fast Tensor Completion via Approximate Richardson Iteration ICML 2025 Fast Training of Sinusoidal Neural Fields via Scaling Initialization ICLR 2025 Fast Uncovering of Protein Sequence Diversity from Structure ICLR 2025 Fast unsupervised ground metric learning with tree-Wasserstein distance ICLR 2025 FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency AAAI 2025 FB-RAG: Improving RAG with Forward and Backward Lookup IJCNLP 2025 FDGen: A Fairness-Aware Graph Generation Model ICML 2025