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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)

GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022 GPS: Genetic Prompt Search for Efficient Few-Shot Learning EMNLP 2022 GraB: Finding Provably Better Data Permutations than Random Reshuffling NeurIPS 2022 Gradient and Projection Free Distributed Online Min-Max Resource Optimization L4DC 2022 Gradient-based Constrained Sampling from Language Models EMNLP 2022 Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NeurIPS 2022 Gradient Descent on Neurons and its Link to Approximate Second-order Optimization ICML 2022 Gradient Descent: The Ultimate Optimizer NeurIPS 2022 Gradient Estimation with Discrete Stein Operators NeurIPS 2022 Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs NeurIPS 2022 Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win AAAI 2022 Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NeurIPS 2022 Gradient Methods Provably Converge to Non-Robust Networks NeurIPS 2022 Gradient Step Denoiser for convergent Plug-and-Play ICLR 2022 Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022 GradMax: Growing Neural Networks using Gradient Information ICLR 2022 GradSign: Model Performance Inference with Theoretical Insights ICLR 2022 Gradual (In)Compatibility of Fairness Criteria AAAI 2022 GradViT: Gradient Inversion of Vision Transformers CVPR 2022 Graham: Synchronizing Clocks by Leveraging Local Clock Properties NSDI 2022 GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer ACL 2022 GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks WACV 2022 Graph-based Nearest Neighbor Search in Hyperbolic Spaces ICLR 2022 Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction NeurIPS 2022