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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)

A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015 A Solution for Multi-Alignment by Transformation Synchronisation CVPR 2015 A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015 As-Rigid-As-Possible Volumetric Shape-From-Template ICCV 2015 Associative Memory via a Sparse Recovery Model NeurIPS 2015 A Statistical Perspective on Algorithmic Leveraging JMLR 2015 A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015 A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015 Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015 Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NeurIPS 2015 Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NeurIPS 2015 A Theory of Decision Making Under Dynamic Context NeurIPS 2015 Atomic Spatial Processes ICML 2015 A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NeurIPS 2015 A trust-region method for stochastic variational inference with applications to streaming data ICML 2015 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms ICML 2015 A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015 A Universal Catalyst for First-Order Optimization NeurIPS 2015 A Universal Primal-Dual Convex Optimization Framework NeurIPS 2015 Automatic Variational Inference in Stan NeurIPS 2015 Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015 A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation ICCV 2015 A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015 Background Subtraction via Generalized Fused Lasso Foreground Modeling CVPR 2015