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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)

Near-optimal Policy Identification in Active Reinforcement Learning ICLR 2023 Near-Optimal Weighted Matrix Completion JMLR 2023 Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems JMLR 2023 NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images CVPR 2023 NeMF: Inverse Volume Rendering with Neural Microflake Field ICCV 2023 NerfAcc: Efficient Sampling Accelerates NeRFs ICCV 2023 NeRF-MS: Neural Radiance Fields with Multi-Sequence ICCV 2023 Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback ICML 2023 Network Expansion for Practical Training Acceleration CVPR 2023 Networks are Slacking Off: Understanding Generalization Problem in Image Deraining NeurIPS 2023 Neumann Network With Recursive Kernels for Single Image Defocus Deblurring CVPR 2023 NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023 Neural Algorithmic Reasoning with Causal Regularisation ICML 2023 Neural Algorithmic Reasoning Without Intermediate Supervision NeurIPS 2023 Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions NeurIPS 2023 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023 Neural Causal Models for Counterfactual Identification and Estimation ICLR 2023 Neural Characteristic Function Learning for Conditional Image Generation ICCV 2023 Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data ICML 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 Neural Dependencies Emerging From Learning Massive Categories CVPR 2023 Neural Design for Genetic Perturbation Experiments ICLR 2023 Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023 Neural Diffusion Processes ICML 2023 Neural Discovery of Permutation Subgroups AISTATS 2023