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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)

Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models ACL 2025 AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025 AutoMixer: Checkpoint Artifacts as Automatic Data Mixers ACL 2025 AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks AAAI 2025 Auto-nnU-Net: Towards Automated Medical Image Segmentation AutoML 2025 Autoregressive Pretraining with Mamba in Vision ICLR 2025 AutoStep: Locally adaptive involutive MCMC ICML 2025 AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection ICLR 2025 Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks EMNLP 2025 A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025 A Variational Information Theoretic Approach to Out-of-Distribution Detection ICML 2025 A Variational Perspective on Generative Protein Fitness Optimization ICML 2025 Average Sensitivity of Hierarchical k-Median Clustering ICML 2025 A Versatile Influence Function for Data Attribution with Non-Decomposable Loss ICML 2025 Avoidance Decoding for Diverse Multi-Branch Story Generation EMNLP 2025 Avoiding spurious sharpness minimization broadens applicability of SAM ICML 2025 Avoiding Undesired Future with Sequential Decisions IJCAI 2025 A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025 Ax: A Platform for Adaptive Experimentation AutoML 2025 Axioms for AI Alignment from Human Feedback AAAI 2025 AxlePro: Momentum-Accelerated Batched Training of Kernel Machines AISTATS 2025 B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025 B4: A Black-Box Scrubbing Attack on LLM Watermarks NAACL 2025 Backdoor Attacks in Token Selection of Attention Mechanism ICML 2025 Backdoor Attacks on Neural Networks via One-Bit Flip ICCV 2025