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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)

Neural Machine Translation with Error Correction IJCAI 2020 Neural Machine Translation with Joint Representation AAAI 2020 Neural Mixed Counting Models for Dispersed Topic Discovery ACL 2020 Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks ICML 2020 Neural Networks Fail to Learn Periodic Functions and How to Fix It NeurIPS 2020 Neural Networks Learning and Memorization with (almost) no Over-Parameterization NeurIPS 2020 Neural Networks with Small Weights and Depth-Separation Barriers NeurIPS 2020 Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning NeurIPS 2020 Neural Policy Gradient Methods: Global Optimality and Rates of Convergence ICLR 2020 Neural Power Units NeurIPS 2020 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020 Neural Speed Reading Audited EMNLP 2020 Neural tangent kernels, transportation mappings, and universal approximation ICLR 2020 Neural Tangents: Fast and Easy Infinite Neural Networks in Python ICLR 2020 Neural Temporal Opinion Modelling for Opinion Prediction on Twitter ACL 2020 Neural text normalization leveraging similarities of strings and sounds COLING 2020 Neuronal Gaussian Process Regression NeurIPS 2020 Neuron-level Structured Pruning using Polarization Regularizer NeurIPS 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design CoRL 2020 New Insights and Perspectives on the Natural Gradient Method JMLR 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 New Potential-Based Bounds for Prediction with Expert Advice COLT 2020 Neyman-Pearson classification: parametrics and sample size requirement JMLR 2020 Nice Invincible Strategy for the Average-Payoff IPD AAAI 2020