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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)

Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025 Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025 Generalized Principal-Agent Problem with a Learning Agent ICLR 2025 Generalized Random Forests Using Fixed-Point Trees ICML 2025 Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level ICML 2025 Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction ICML 2025 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization AAAI 2025 General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025 General Uncertainty Estimation with Delta Variances AAAI 2025 Generating Likely Counterfactuals Using Sum-Product Networks ICLR 2025 Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and Evaluation IJCNLP 2025 Generating Visual Explanations from Deep Networks using Implicit Neural Representations WACV 2025 Generation from Noisy Examples ICML 2025 Generation through the lens of learning theory COLT 2025 Generative Adversarial Networks: Dynamics JMLR 2025 Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space IJCAI 2025 Generative Map Priors for Collaborative BEV Semantic Segmentation CVPR 2025 Generative Prompt Internalization NAACL 2025 Generative Verifiers: Reward Modeling as Next-Token Prediction ICLR 2025 Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning ACL 2025 GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation EMNLP 2025 GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025 GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025 GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar ICCV 2025 Geodesic Slice Sampling on the Sphere JMLR 2025