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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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Papers (including subtopics)

Neural Optimal Transport with General Cost Functionals ICLR 2024 Neural Optimal Transport with Lagrangian Costs UAI 2024 Neural Oscillators for Generalization of Physics-Informed Machine Learning AAAI 2024 Neural Persistence Dynamics NeurIPS 2024 Neural Physical Simulation with Multi-Resolution Hash Grid Encoding AAAI 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 Neural Spectral Methods: Self-supervised learning in the spectral domain ICLR 2024 Neural structure learning with stochastic differential equations ICLR 2024 Neural Tangent Kernels for Axis-Aligned Tree Ensembles ICML 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 Neural Time-Reversed Generalized Riccati Equation AAAI 2024 Neural Visibility Field for Uncertainty-Driven Active Mapping CVPR 2024 NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks ICLR 2024 NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization EMNLP 2024 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ICLR 2024 Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice ICLR 2024 Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024 Neuro-Symbolic Data Generation for Math Reasoning NeurIPS 2024 NeuroSymbolic LLM for Mathematical Reasoning and Software Engineering IJCAI 2024 Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning ICML 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024 New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions ICLR 2024 New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024