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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)

Backdoor Mitigation by Distance-Driven Detoxification ICCV 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025 Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction ICCV 2025 BackSlash: Rate Constrained Optimized Training of Large Language Models ICML 2025 Back to the Future of Integrated Robot Systems AAAI 2025 Backward Filtering Forward Guiding JMLR 2025 Bagged Regularized k-Distances for Anomaly Detection JMLR 2025 Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels AAAI 2025 Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025 Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations ICLR 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025 Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025 Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data ICML 2025 Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning ACL 2025 Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data ICML 2025 Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration CVPR 2025 Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025 Bandit Based Attention Mechanism in Vision Transformers WACV 2025 Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers ACL 2025 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms ICML 2025 BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks IJCAI 2025 BARK: A Fully Bayesian Tree Kernel for Black-box Optimization ICML 2025 BARNN: A Bayesian Autoregressive and Recurrent Neural Network ICML 2025