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Classification

15,805 papers

Papers per year

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Papers

Adversarial Multiclass Classification: A Risk Minimization Perspective NIPS 2016
Pairwise Choice Markov Chains NIPS 2016
Stochastic Online AUC Maximization NIPS 2016
Fast and Flexible Monotonic Functions with Ensembles of Lattices NIPS 2016
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs NIPS 2016
An urn model for majority voting in classification ensembles NIPS 2016
Mistake Bounds for Binary Matrix Completion NIPS 2016
Quantum Perceptron Models NIPS 2016
Satisfying Real-world Goals with Dataset Constraints NIPS 2016
Launch and Iterate: Reducing Prediction Churn NIPS 2016
Deep Neural Networks with Inexact Matching for Person Re-Identification NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Dense Associative Memory for Pattern Recognition NIPS 2016
Fairness in Learning: Classic and Contextual Bandits NIPS 2016
Lifelong Learning with Weighted Majority Votes NIPS 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning AUTOML 2016
A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016
Learning Feature Aware Metric ACML 2016
Learning Distance Metrics for Multi-Label Classification ACML 2016
Echo State Hoeffding Tree Learning ACML 2016
A Robust-Equitable Copula Dependence Measure for Feature Selection AISTATS 2016
Random Forest for the Contextual Bandit Problem AISTATS 2016
Unsupervised Ensemble Learning with Dependent Classifiers AISTATS 2016
Nearly Optimal Classification for Semimetrics AISTATS 2016