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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)

Optimizing Temperature for Language Models with Multi-Sample Inference ICML 2025 Optimizing Test-Time Compute via Meta Reinforcement Finetuning ICML 2025 OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025 OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud NSDI 2025 OptiSeq: Ordering Examples On-The-Fly for In-Context Learning EMNLP 2025 OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling ICML 2025 Oracle efficient truncated statistics ICLR 2025 Ordered V-information Growth: A Fresh Perspective on Shared Information AISTATS 2025 Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following ACL 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization UAI 2025 Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness AISTATS 2025 ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities EMNLP 2025 Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power JMLR 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 Oscillation-Reduced MXFP4 Training for Vision Transformers ICML 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025 OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion AAAI 2025 O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models CVPR 2025 OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer AAAI 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models ICML 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025 Outlier-Robust Linear System Identification Under Heavy-Tailed Noise L4DC 2025 Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models ACL 2025 Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection ICLR 2025