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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)

Optimal Structure Identification With Greedy Search JMLR 2002
A Robust Minimax Approach to Classification JMLR 2002
Efficient Algorithms for Decision Tree Cross-validation JMLR 2002
The Representational Power of Discrete Bayesian Networks JMLR 2002
The Set Covering Machine JMLR 2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002
Learning to Construct Fast Signal Processing Implementations JMLR 2002
Policy Search using Paired Comparisons JMLR 2002
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001
Lagrangian Support Vector Machines JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001
Bayes Point Machines JMLR 2001
Tracking the Best Linear Predictor JMLR 2001
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001
On the Size of Convex Hulls of Small Sets JMLR 2001
On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001
Uniform Object Generation for Optimizing One-class Classifiers JMLR 2001
A New Approximate Maximal Margin Classification Algorithm JMLR 2001
Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001
Exact Simplification of Support Vector Solutions JMLR 2001
Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000