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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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'25

Papers (including subtopics)

Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Reinforcement Learning in Finite MDPs: PAC Analysis JMLR 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Riffled Independence for Ranked Data NeurIPS 2009 Robustness and Regularization of Support Vector Machines JMLR 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 Sequential effects reflect parallel learning of multiple environmental regularities NeurIPS 2009 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009 Slow Learners are Fast NeurIPS 2009 Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Sparse Online Learning via Truncated Gradient JMLR 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Spatial Normalized Gamma Processes NeurIPS 2009 Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NeurIPS 2009 Stable and Efficient Gaussian Process Calculations JMLR 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009