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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)

RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters EMNLP 2025 RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations ACL 2025 RLMEval: Evaluating Research-Level Neural Theorem Proving EMNLP 2025 RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs AAAI 2025 RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation ACL 2025 Robot Learning with Super-Linear Scaling RSS 2025 Robust Algorithms for Recovering Planted r-Colorable Graphs COLT 2025 Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract) AAAI 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 Robust Bias Detection in MLMs and its Application to Human Trait Ratings NAACL 2025 Robust Conformal Prediction with a Single Binary Certificate ICLR 2025 Robust Control of Uncertain Switched Affine Systems via Scenario Optimization L4DC 2025 Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median AISTATS 2025 Robust Estimation of Population-Level Effects in Repeated-Measures NLP Experimental Designs ACL 2025 Robust Feature Learning for Multi-Index Models in High Dimensions ICLR 2025 Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs IJCAI 2025 Robust Gradient Descent for Phase Retrieval AISTATS 2025 Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck AAAI 2025 Robustly Learning Monotone Generalized Linear Models via Data Augmentation COLT 2025 Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition AISTATS 2025 Robust Multi-Objective Preference Alignment with Online DPO AAAI 2025 Robust Multi-view Co-expression Network Inference CLeaR 2025 Robustness Auditing for Linear Regression: To Singularity and Beyond ICLR 2025 Robustness of Quantum Algorithms for Nonconvex Optimization ICLR 2025 Robust Offline Policy Learning with Observational Data from Multiple Sources AISTATS 2025