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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)

CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023 Credal Marginal MAP NeurIPS 2023 Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NeurIPS 2023 Critical Learning Periods for Multisensory Integration in Deep Networks CVPR 2023 Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss ICML 2023 Critic Sequential Monte Carlo ICLR 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023 Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-identification AAAI 2023 CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions NeurIPS 2023 CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels NeurIPS 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization IJCAI 2023 CUF: Continuous Upsampling Filters CVPR 2023 CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm EMNLP 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NeurIPS 2023 Curriculum Learning With Infant Egocentric Videos NeurIPS 2023 Curriculum Temperature for Knowledge Distillation AAAI 2023 Curvature and complexity: Better lower bounds for geodesically convex optimization COLT 2023 Curvature-Aware Training for Coordinate Networks ICCV 2023 Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023 Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models NeurIPS 2023 Cut your Losses with Squentropy ICML 2023 CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection WACV 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023