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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)

Reducing Network Agnostophobia NeurIPS 2018 Re-evaluating evaluation NeurIPS 2018 Refine or Represent: Residual Networks with Explicit Channel-wise Configuration IJCAI 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Regional Multi-Armed Bandits AISTATS 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018 Regularization Learning Networks: Deep Learning for Tabular Datasets NeurIPS 2018 Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018 Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation ACL 2018 Regularizing and Optimizing LSTM Language Models ICLR 2018 Regularizing by the Variance of the Activations' Sample-Variances NeurIPS 2018 Regularizing Deep Networks by Modeling and Predicting Label Structure CVPR 2018 Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method IJCAI 2018 Reinforced Extractive Summarization with Question-Focused Rewards ACL 2018 Reinforcement Learning Algorithm Selection ICLR 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NeurIPS 2018 Relating Articulatory Motions in Different Speaking Rates Interspeech 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 Relation Induction in Word Embeddings Revisited COLING 2018 Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning ACL 2018 Removing Hidden Confounding by Experimental Grounding NeurIPS 2018 Removing the Feature Correlation Effect of Multiplicative Noise NeurIPS 2018