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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)

Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 PiCO: Peer Review in LLMs based on Consistency Optimization ICLR 2025 Picsou: Enabling Replicated State Machines to Communicate Efficiently OSDI 2025 PIC: Unlocking Long-Form Text Generation Capabilities of Large Language Models via Position ID Compression ACL 2025 Piecewise deterministic sampling with splitting schemes JMLR 2025 PIED: Physics-Informed Experimental Design for Inverse Problems ICLR 2025 PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations ICLR 2025 PI-HMR: Towards Robust In-bed Temporal Human Shape Reconstruction with Contact Pressure Sensing CVPR 2025 PILAF: Optimal Human Preference Sampling for Reward Modeling ICML 2025 Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule ICML 2025 PiML: Automated Machine Learning Workflow Optimization using LLM Agents AutoML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models ICML 2025 PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations ICLR 2025 PIPA: Preference Alignment as Prior-Informed Statistical Estimation ICML 2025 PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization ICML 2025 PipeThreader: Software-Defined Pipelining for Efficient DNN Execution OSDI 2025 PIP: Perturbation-based Iterative Pruning for Large Language Models EMNLP 2025 PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop ICML 2025 Pitfalls of Scale: Investigating the Inverse Task of Redefinition in Large Language Models ACL 2025 PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity ICCV 2025 PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes CVPR 2025 PlanGenLLMs: A Modern Survey of LLM Planning Capabilities ACL 2025 Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming ICLR 2025 PlanningArena: A Modular Benchmark for Multidimensional Evaluation of Planning and Tool Learning ACL 2025 Planning-Aware Code Infilling via Horizon-Length Prediction EMNLP 2025