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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)

Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction NeurIPS 2022 Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning IJCAI 2022 Understanding the unstable convergence of gradient descent ICML 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression CVPR 2022 Unified Optimal Transport Framework for Universal Domain Adaptation NeurIPS 2022 Unified Scaling Laws for Routed Language Models ICML 2022 Uniform deconvolution for Poisson Point Processes JMLR 2022 Uniform Stability for First-Order Empirical Risk Minimization COLT 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NeurIPS 2022 Unifying Cosine and PLDA Back-ends for Speaker Verification Interspeech 2022 Unifying Importance Based Regularisation Methods for Continual Learning AISTATS 2022 Unifying Likelihood-free Inference with Black-box Optimization and Beyond ICLR 2022 UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator NeurIPS 2022 UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification? EMNLP 2022 Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression CVPR 2022 Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs NeurIPS 2022 Unit Selection with Causal Diagram AAAI 2022 Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization OSDI 2022 Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022 Universal and Tight Online Algorithms for Generalized-Mean Welfare AAAI 2022 Universal Approximation in Dropout Neural Networks JMLR 2022 Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022 Universal Approximation Under Constraints is Possible with Transformers ICLR 2022 Universal Evasion Attacks on Summarization Scoring EMNLP 2022