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Classification

15,805 papers

Papers per year

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Papers

Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Precision-Recall-Gain Curves: PR Analysis Done Right NIPS 2015
Sparse Local Embeddings for Extreme Multi-label Classification NIPS 2015
The Self-Normalized Estimator for Counterfactual Learning NIPS 2015
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NIPS 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged NIPS 2015
On the Accuracy of Self-Normalized Log-Linear Models NIPS 2015
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NIPS 2015
Calibrated Structured Prediction NIPS 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
Predtron: A Family of Online Algorithms for General Prediction Problems NIPS 2015
Non-convex Statistical Optimization for Sparse Tensor Graphical Model NIPS 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NIPS 2015
On the Optimality of Classifier Chain for Multi-label Classification NIPS 2015
Consistent Multilabel Classification NIPS 2015
Color Constancy by Learning to Predict Chromaticity from Luminance NIPS 2015
Max-Margin Deep Generative Models NIPS 2015
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015
Large-scale probabilistic predictors with and without guarantees of validity NIPS 2015
Learning with a Wasserstein Loss NIPS 2015
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NIPS 2015
Teaching Machines to Read and Comprehend NIPS 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015
Distributionally Robust Logistic Regression NIPS 2015
Online Prediction at the Limit of Zero Temperature NIPS 2015