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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)

Scene Parsing via Integrated Classification Model and Variance-Based Regularization CVPR 2019 ScratchDet: Training Single-Shot Object Detectors From Scratch CVPR 2019 Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NeurIPS 2019 Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019 Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling ACL 2019 Second-Order Semantic Dependency Parsing with End-to-End Neural Networks ACL 2019 Seeing What a GAN Cannot Generate ICCV 2019 Selecting Compliant Agents for Opt-in Micro-Tolling AAAI 2019 Selective Sampling-based Scalable Sparse Subspace Clustering NeurIPS 2019 Self-Adversarially Learned Bayesian Sampling AAAI 2019 Self-Attention Transducers for End-to-End Speech Recognition Interspeech 2019 Self-similar Epochs: Value in arrangement ICML 2019 Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions ICLR 2019 Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019 Semantic Expressive Capacity with Bounded Memory ACL 2019 Semantic Role Labeling with Iterative Structure Refinement EMNLP 2019 Semi-Analytic Resampling in Lasso JMLR 2019 Semi-Cyclic Stochastic Gradient Descent ICML 2019 Semi-flat minima and saddle points by embedding neural networks to overparameterization NeurIPS 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 Semi-Supervised Domain Adaptation via Minimax Entropy ICCV 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 Sentence-Level Agreement for Neural Machine Translation ACL 2019