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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)

Rényi Fair Inference ICLR 2020 Reparameterizing Mirror Descent as Gradient Descent NeurIPS 2020 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NeurIPS 2020 Representations for Stable Off-Policy Reinforcement Learning ICML 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Rescuing neural spike train models from bad MLE NeurIPS 2020 Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders ICML 2020 Reservoir Computing meets Recurrent Kernels and Structured Transforms NeurIPS 2020 Residual Neural Processes AAAI 2020 Resilient Distributed Diffusion for Multi-Robot Systems Using Centerpoint RSS 2020 Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay ICML 2020 Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits NeurIPS 2020 Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments COLING 2020 Results of the WMT20 Metrics Shared Task EMNLP 2020 Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ICML 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Rethinking Learnable Tree Filter for Generic Feature Transform NeurIPS 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 Rethinking Skip Connection with Layer Normalization COLING 2020 Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness ICLR 2020 Retiarii: A Deep Learning Exploratory-Training Framework OSDI 2020 Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NeurIPS 2020 Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NeurIPS 2020