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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)

Noise Tolerant Variants of the Perceptron Algorithm JMLR 2007
Learnability of Gaussians with Flexible Variances JMLR 2007
Separating Models of Learning from Correlated and Uncorrelated Data JMLR 2007
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007
Dynamics and Generalization Ability of LVQ Algorithms JMLR 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Value Regularization and Fenchel Duality JMLR 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007
Infinitely Imbalanced Logistic Regression JMLR 2007
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results JMLR 2007
Concave Learners for Rankboost JMLR 2007
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007
Combining PAC-Bayesian and Generic Chaining Bounds JMLR 2007
Anytime Learning of Decision Trees JMLR 2007
Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007
On the Consistency of Multiclass Classification Methods JMLR 2007
Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007
Bayesian Quadratic Discriminant Analysis JMLR 2007
From External to Internal Regret JMLR 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
Attribute-Efficient and Non-adaptive Learning of Parities and DNF Expressions JMLR 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007