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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)

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning ICLR 2025 Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments CoRL 2025 ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals ICML 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 Restructuring Vector Quantization with the Rotation Trick ICLR 2025 ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning EMNLP 2025 Rethinking Benign Overfitting in Two-Layer Neural Networks ICML 2025 Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL ICML 2025 Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025 Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior ICLR 2025 Rethinking DPO-style Diffusion Aligning Frameworks ICCV 2025 Rethinking DPO: The Role of Rejected Responses in Preference Misalignment EMNLP 2025 Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human? ACL 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Rethinking Invariance in In-context Learning ICLR 2025 Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off ICLR 2025 Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025 Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025 Rethinking Long Context Generation from the Continual Learning Perspective COLING 2025 Rethinking Multiple-Instance Learning From Feature Space to Probability Space ICLR 2025 Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark EMNLP 2025 Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision IJCAI 2025 Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR 2025