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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Self-Adaptable Point Processes with Nonparametric Time Decays NeurIPS 2021 Self-Attention Attribution: Interpreting Information Interactions Inside Transformer AAAI 2021 Self-Attention Networks Can Process Bounded Hierarchical Languages ACL 2021 Self-boosting for Feature Distillation IJCAI 2021 Self-Calibrating Neural Radiance Fields ICCV 2021 Self-Concordant Analysis of Generalized Linear Bandits with Forgetting AISTATS 2021 Self-correcting Q-learning AAAI 2021 Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021 Self-Guided Curriculum Learning for Neural Machine Translation ACL 2021 Selfish Sparse RNN Training ICML 2021 Self Normalizing Flows ICML 2021 Self-Progressing Robust Training AAAI 2021 Self-Supervised Geometric Perception CVPR 2021 Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021 Semantic Linking Maps for Active Visual Object Search (Extended Abstract) IJCAI 2021 Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NeurIPS 2021 Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization AAAI 2021 SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity NSDI 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021 Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints IJCAI 2021 Separation and Concentration in Deep Networks ICLR 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021 SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation EMNLP 2021 Sequence Length is a Domain: Length-based Overfitting in Transformer Models EMNLP 2021 Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving ACL 2021