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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Dependent Indian Buffet Processes AISTATS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010
Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Online Learning for Matrix Factorization and Sparse Coding JMLR 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010
Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010
Bundle Methods for Regularized Risk Minimization JMLR 2010
Approximate Tree Kernels JMLR 2010
On Finding Predictors for Arbitrary Families of Processes JMLR 2010
A Rotation Test to Verify Latent Structure JMLR 2010
Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010
Maximum Relative Margin and Data-Dependent Regularization JMLR 2010
Stability Bounds for Stationary φ-mixing and β-mixing Processes JMLR 2010
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models JMLR 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
On Learning with Integral Operators JMLR 2010
Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010