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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks NeurIPS 2024 Neural Collapse in Multi-label Learning with Pick-all-label Loss ICML 2024 Neural collapse vs. low-rank bias: Is deep neural collapse really optimal? NeurIPS 2024 Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times NeurIPS 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural Cover Selection for Image Steganography NeurIPS 2024 Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields WACV 2024 Neural Fields as Distributions: Signal Processing Beyond Euclidean Space CVPR 2024 Neural Fine-Tuning Search for Few-Shot Learning ICLR 2024 Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space JMLR 2024 Neural Jump-Diffusion Temporal Point Processes ICML 2024 Neural Krylov Iteration for Accelerating Linear System Solving NeurIPS 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Neural Model Checking NeurIPS 2024 Neural Neighborhood Search for Multi-agent Path Finding ICLR 2024 Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024 Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024 Neural Network Augmented Kalman Filter for Robust Acoustic Howling Suppression Interspeech 2024 Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization ICLR 2024 Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NeurIPS 2024 Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations NeurIPS 2024 Neural Networks Learn Statistics of Increasing Complexity ICML 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024 Neural operators for boundary stabilization of stop-and-go traffic L4DC 2024 Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving ICML 2024