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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)

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025 Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning Tasks ACL 2025 Principles and Methodologies for Serial Performance Optimization OSDI 2025 Principles of Visual Tokens for Efficient Video Understanding ICCV 2025 Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025 Prior2Posterior: Model Prior Correction for Long-Tailed Learning WACV 2025 Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits AISTATS 2025 Prioritized Generative Replay ICLR 2025 Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025 PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance ACL 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting ICML 2025 Privacy Amplification Through Synthetic Data: Insights from Linear Regression ICML 2025 Privacy-and-Utility-Aware Publishing of Schedules AAAI 2025 Privacy Auditing of Large Language Models ICLR 2025 Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation ICML 2025 Private Federated Learning using Preference-Optimized Synthetic Data ICML 2025 Private List Learnability vs. Online List Learnability COLT 2025 Private Lossless Multiple Release ICML 2025 Private Mechanism Design via Quantile Estimation ICLR 2025 Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity COLT 2025 PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ACL 2025 Probabilistic Analysis of Stable Matching in Large Markets with Siblings IJCAI 2025 Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning ICML 2025 Probabilistic Inertial Poser (ProbIP): Uncertainty-aware Human Motion Modeling from Sparse Inertial Sensors ICCV 2025 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution ICLR 2025