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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
'5
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'25

Papers (including subtopics)

Neural Fields with Hard Constraints of Arbitrary Differential Order NeurIPS 2023 Neural FIM for learning Fisher information metrics from point cloud data ICML 2023 Neural Fourier Filter Bank CVPR 2023 Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning NeurIPS 2023 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NeurIPS 2023 Neural Implicit Shape Editing using Boundary Sensitivity ICLR 2023 Neural Implicit Surface Evolution ICCV 2023 Neural Integro-Differential Equations AAAI 2023 Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics ICLR 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NeurIPS 2023 Neural Lyapunov Control for Discrete-Time Systems NeurIPS 2023 Neural Markov Jump Processes ICML 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NeurIPS 2023 Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023 Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023 Neural Networks and the Chomsky Hierarchy ICLR 2023 Neural Networks Efficiently Learn Low-Dimensional Representations with SGD ICLR 2023 Neural networks trained with SGD learn distributions of increasing complexity ICML 2023 Neural Optimal Transport ICLR 2023 Neural Oscillators are Universal NeurIPS 2023 Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views CVPR 2023 Neural Policy Safety Verification via Predicate Abstraction: CEGAR AAAI 2023 Neural Processes with Stability NeurIPS 2023 Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023 Neural Sampling in Hierarchical Exponential-family Energy-based Models NeurIPS 2023