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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)

RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models NAACL 2025 Rapid Learning in Constrained Minimax Games with Negative Momentum AAAI 2025 Rapid Mismatch Estimation via Neural Network Informed Variational Inference CoRL 2025 Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization ICML 2025 RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models ICLR 2025 RaSA: Rank-Sharing Low-Rank Adaptation ICLR 2025 Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025 Rate of Model Collapse in Recursive Training AISTATS 2025 Rate-Preserving Reductions for Blackwell Approachability COLT 2025 Rates for Offline Reinforcement Learning with Adaptively Collected Data L4DC 2025 RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories CVPR 2025 RCScore: Quantifying Response Consistency in Large Language Models EMNLP 2025 RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025 Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025 Realistic Evaluation of Deep Partial-Label Learning Algorithms ICLR 2025 REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025 Real-World Summarization: When Evaluation Reaches Its Limits EMNLP 2025 Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference ACL 2025 Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation ACL 2025 Reasoning Models Reason Well, Until They Don’t IJCNLP 2025 Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025 ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models IJCNLP 2025 Reasoning with Latent Thoughts: On the Power of Looped Transformers ICLR 2025 Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025 Reassessing How to Compare and Improve the Calibration of Machine Learning Models ICLR 2025