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

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Model-Augmented Conditional Mutual Information Estimation for Feature Selection UAI 2020 Model-Based Diagnosis with Uncertain Observations AAAI 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Model-based reinforcement learning for biological sequence design ICLR 2020 Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal COLT 2020 Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020 Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems IJCAI 2020 Model Checking Temporal Epistemic Logic under Bounded Recall AAAI 2020 Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020 Model Fusion with Kullback-Leibler Divergence ICML 2020 Modeling and Optimization Trade-off in Meta-learning NeurIPS 2020 Modeling Dialogues with Hashcode Representations: A Nonparametric Approach AAAI 2020 Model Interpretability through the lens of Computational Complexity NeurIPS 2020 Model Inversion Networks for Model-Based Optimization NeurIPS 2020 Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation ACL 2020 Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020 Model Selection for Production System via Automated Online Experiments NeurIPS 2020 Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020 Modular Meta-Learning with Shrinkage NeurIPS 2020 Modulating Surrogates for Bayesian Optimization ICML 2020 Momentum-Based Policy Gradient Methods ICML 2020