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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)

Stochastic Variance-Reduced Cubic Regularized Newton Methods ICML 2018 Stochastic Variance-Reduced Hamilton Monte Carlo Methods ICML 2018 Stochastic Variance-Reduced Policy Gradient ICML 2018 Stochastic Variational Inference With Gradient Linearization CVPR 2018 Stochastic Video Generation with a Learned Prior ICML 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 Streaming Kernel PCA with Õ(√n) Random Features NeurIPS 2018 Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018 Streaming Principal Component Analysis in Noisy Setting ICML 2018 Streamlining Variational Inference for Constraint Satisfaction Problems NeurIPS 2018 Stronger Generalization Bounds for Deep Nets via a Compression Approach ICML 2018 Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018 Structured Gaussian Processes with Twin Multiple Kernel Learning ACML 2018 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018 Structured Local Minima in Sparse Blind Deconvolution NeurIPS 2018 Structured Optimal Transport AISTATS 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 Structured Variationally Auto-encoded Optimization ICML 2018 Structure Learning of ${H}$-colorings ALT 2018 Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018 Subband Weighting for Binaural Speech Source Localization Interspeech 2018 Sublinear Time Low-Rank Approximation of Distance Matrices NeurIPS 2018 Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018 Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018 Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization ACL 2018