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Classification

15,289 papers

Papers per year

Papers

An ensemble diversity approach to supervised binary hashing NIPS 2016
Equality of Opportunity in Supervised Learning NIPS 2016
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments NIPS 2016
Boosting with Abstention NIPS 2016
Stochastic Structured Prediction under Bandit Feedback NIPS 2016
Estimating the class prior and posterior from noisy positives and unlabeled data NIPS 2016
A Minimax Approach to Supervised Learning NIPS 2016
Robustness of classifiers: from adversarial to random noise NIPS 2016
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain NIPS 2016
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities NIPS 2016
A Consistent Regularization Approach for Structured Prediction NIPS 2016
A Credit Assignment Compiler for Joint Prediction NIPS 2016
What Makes Objects Similar: A Unified Multi-Metric Learning Approach NIPS 2016
The Limits of Learning with Missing Data NIPS 2016
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization NIPS 2016
On Regularizing Rademacher Observation Losses NIPS 2016
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NIPS 2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016
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