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Classification

15,805 papers

Papers per year

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Papers

Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014
Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014
Structured Prediction of Network Response ICML 2014
Linear Time Solver for Primal SVM ICML 2014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014
Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
On Robustness and Regularization of Structural Support Vector Machines ICML 2014
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014
Stochastic Neighbor Compression ICML 2014
Learning Mixtures of Linear Classifiers ICML 2014
Joint Inference of Multiple Label Types in Large Networks ICML 2014
Maximum Margin Multiclass Nearest Neighbors ICML 2014
Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014
Making Fisher Discriminant Analysis Scalable ICML 2014
Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014
Ensemble Methods for Structured Prediction ICML 2014
Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014
Deep Boosting ICML 2014
Discrete Chebyshev Classifiers ICML 2014
A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014
Transductive Learning with Multi-class Volume Approximation ICML 2014
Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Learnability of the Superset Label Learning Problem ICML 2014
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014