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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)

Consistent Response Generation with Controlled Specificity EMNLP 2020 Consistent Structured Prediction with Max-Min Margin Markov Networks ICML 2020 Constant-Expansion Suffices for Compressed Sensing with Generative Priors NeurIPS 2020 Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data JMLR 2020 Constrained episodic reinforcement learning in concave-convex and knapsack settings NeurIPS 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Constrained Upper Confidence Reinforcement Learning L4DC 2020 Constraing-Based Learning for Continous-Time Bayesian Networks PGM 2020 Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks ICML 2020 Context-Aware Cross-Attention for Non-Autoregressive Translation COLING 2020 Context Mover’s Distance & Barycenters: Optimal Transport of Contexts for Building Representations AISTATS 2020 Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020 Contextual Explanation Networks JMLR 2020 Contextual Online False Discovery Rate Control AISTATS 2020 Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming NeurIPS 2020 Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract) IJCAI 2020 Continual Learning for Multi-Dialect Acoustic Models Interspeech 2020 Continual Learning in Low-rank Orthogonal Subspaces NeurIPS 2020 Continual Learning with Adaptive Weights (CLAW) ICLR 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data ICLR 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020 Continuous Graph Neural Networks ICML 2020 Continuous Meta-Learning without Tasks NeurIPS 2020 Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020 Continuous-time Lower Bounds for Gradient-based Algorithms ICML 2020