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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)

Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model NAACL 2025 Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games ICLR 2025 Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation JMLR 2025 Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia MLHC 2025 Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model AISTATS 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems ICLR 2025 CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models ICLR 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off ICML 2025 CliME: Evaluating Multimodal Climate Discourse on Social Media and the Climate Alignment Quotient (CAQ) ACL 2025 Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies ICML 2025 Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed ICML 2025 CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025 CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling EMNLP 2025 CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss CVPR 2025 CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control ICLR 2025 Closed-form Solutions: A New Perspective on Solving Differential Equations ICML 2025 Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025 ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation EMNLP 2025 ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering ACL 2025 Clustering Items through Bandit Feedback: Finding the Right Feature out of Many ICML 2025 ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs EMNLP 2025 CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework CVPR 2025 CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts ICCV 2025 CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition ACL 2025