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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)

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain ICLR 2025 DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation ICCV 2025 D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation CoRL 2025 DDB: Diffusion Driven Balancing to Address Spurious Correlations ICCV 2025 DeAL: Decoding-time Alignment for Large Language Models ACL 2025 DEALing with Image Reconstruction: Deep Attentive Least Squares ICML 2025 Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation EMNLP 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics RSS 2025 Debiasing Federated Learning with Correlated Client Participation ICLR 2025 Debiasing Mini-Batch Quadratics for Applications in Deep Learning ICLR 2025 dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation ICLR 2025 DECAF: A Dynamically Extensible Corpus Analysis Framework ACL 2025 Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach AAAI 2025 Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025 Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity JMLR 2025 Decentralized Diffusion Models CVPR 2025 Decentralized, Epoch-based F2FS Journaling with Fine-grained Crash Recovery OSDI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 Decentralized Optimization with Coupled Constraints ICLR 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025 Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025 Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees ICLR 2025 Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention ICML 2025