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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
'5
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'25

Papers (including subtopics)

Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025 Boosting Multimodal Learning via Disentangled Gradient Learning ICCV 2025 Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games ICLR 2025 Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport CVPR 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors ICLR 2025 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Boosting, Voting Classifiers and Randomized Sample Compression Schemes ALT 2025 Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data ACL 2025 Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation ICLR 2025 Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel ICLR 2025 Bootstrapping Language Models with DPO Implicit Rewards ICLR 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025 BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle ACL 2025 Boundary Probing for Input Privacy Protection When Using LMM Services ICCV 2025 Bounds on L_p Errors in Density Ratio Estimation via f-Divergence Loss Functions ICLR 2025 BP-Modified Local Loss for Efficient Training of Deep Neural Networks ICLR 2025 BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment NAACL 2025 BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving ACL 2025 Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration ICLR 2025 Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator ICLR 2025 Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking AAAI 2025 Breaking Neural Network Scaling Laws with Modularity ICLR 2025 Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids ICLR 2025 Breaking the Attention Trap in Code LLMs: A Rejection Sampling Approach to Enhance Code Execution Prediction EMNLP 2025