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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)

Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025 Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective ICML 2025 Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ACL 2025 Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? ACL 2025 Continual Unsupervised Generative Modelling via Online Optimal Transport AAAI 2025 Continuous Bayesian Model Selection for Multivariate Causal Discovery ICML 2025 Continuous Diffusion for Mixed-Type Tabular Data ICLR 2025 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction IJCAI 2025 Continuous Ensemble Weather Forecasting with Diffusion models ICLR 2025 Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs ICLR 2025 Continuous Semi-Implicit Models ICML 2025 Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers EMNLP 2025 Continuous Visual Autoregressive Generation via Score Maximization ICML 2025 Continuum Attention for Neural Operators JMLR 2025 CONTRA: Conformal Prediction Region via Normalizing Flow Transformation ICLR 2025 Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements AAAI 2025 ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction ICCV 2025 Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025 Contrastive Functional Principal Component Analysis AAAI 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion ICML 2025 Control and Realism: Best of Both Worlds in Layout-to-Image without Training ICML 2025 Controllable Generation via Locally Constrained Resampling ICLR 2025 Controllable Memorization in LLMs via Weight Pruning EMNLP 2025 Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization ICLR 2025 Controlled Generation with Equivariant Variational Flow Matching ICML 2025