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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)

Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization ICLR 2025 Overcoming Black-box Attack Inefficiency with Hybrid and Dynamic Select Algorithms EMNLP 2025 Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions ICLR 2025 Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner ICML 2025 Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan ICML 2025 Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization ICML 2025 Over-Generation and Compaction: A Prompting Strategy for Procedural Text Adaptation with Large Language Models EMNLP 2025 OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels CVPR 2025 Overtuning in Hyperparameter Optimization AutoML 2025 OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? CVPR 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 P3: Prompts Promote Prompting ACL 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 PAC-Bayes Analysis for Recalibration in Classification ICML 2025 Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning ACL 2025 PAC Learning with Improvements ICML 2025 Pacmann: Efficient Private Approximate Nearest Neighbor Search ICLR 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025 Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy ICLR 2025 PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs ICML 2025 Palette of Language Models: A Solver for Controlled Text Generation NAACL 2025 PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025 PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality NSDI 2025 Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture IJCAI 2025 Parallel Belief Revision via Order Aggregation IJCAI 2025