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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)

Last Layer Marginal Likelihood for Invariance Learning AISTATS 2022 Latent Hierarchical Causal Structure Discovery with Rank Constraints NeurIPS 2022 Latent Reweighting, an Almost Free Improvement for GANs WACV 2022 Latent Time Neural Ordinary Differential Equations AAAI 2022 Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022 Lattice-Based Methods Surpass Sum-of-Squares in Clustering COLT 2022 Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022 Lazy Estimation of Variable Importance for Large Neural Networks ICML 2022 LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network CVPR 2022 Learnability of Competitive Threshold Models IJCAI 2022 Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness ICLR 2022 Learnable Adaptive Cosine Estimator (LACE) for Image Classification WACV 2022 Learned Simulators for Turbulence ICLR 2022 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022 Learning Adaptive Segmentation Policy for End-to-End Simultaneous Translation ACL 2022 Learning and Covering Sums of Independent Random Variables with Unbounded Support NeurIPS 2022 Learning a neural Pareto manifold extractor with constraints UAI 2022 Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network NeurIPS 2022 Learning a Single Neuron with Adversarial Label Noise via Gradient Descent COLT 2022 Learning-Augmented k-means Clustering ICLR 2022 Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers L4DC 2022 Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022 Learning Bayesian Networks in the Presence of Structural Side Information AAAI 2022 Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022 Learning Bellman Complete Representations for Offline Policy Evaluation ICML 2022