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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)

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior ICLR 2025 PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution CVPR 2025 PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty WACV 2025 Patch-wise Structural Loss for Time Series Forecasting ICML 2025 Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints AAAI 2025 Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy MLHC 2025 Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations ACL 2025 p-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis? ICCV 2025 PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting IJCAI 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs ICML 2025 PDUDT: Provable Decentralized Unlearning under Dynamic Topologies ICML 2025 PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity ICML 2025 PEARL: Towards Permutation-Resilient LLMs ICLR 2025 pEBR: A Probabilistic Approach to Embedding Based Retrieval EMNLP 2025 PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA ACL 2025 PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion ICML 2025 Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks AISTATS 2025 Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach IJCAI 2025 Performative Prediction on Games and Mechanism Design AISTATS 2025 Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy AISTATS 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents ICLR 2025 Persistent Homology of Topic Networks for the Prediction of Reader Curiosity ACL 2025 Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning AISTATS 2025 Perspective-driven Preference Optimization with Entropy Maximization for Diverse Argument Generation EMNLP 2025 Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories CVPR 2025