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Classification

15,289 papers

Papers per year

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Papers

Lower Bounds on Active Learning for Graphical Model Selection AISTATS 2017
On the Learnability of Fully-Connected Neural Networks AISTATS 2017
On the Troll-Trust Model for Edge Sign Prediction in Social Networks AISTATS 2017
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers AISTATS 2017
Data Driven Resource Allocation for Distributed Learning AISTATS 2017
Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification AISTATS 2017
Generalization Error of Invariant Classifiers AISTATS 2017
Communication-efficient Distributed Sparse Linear Discriminant Analysis AISTATS 2017
Fast Classification with Binary Prototypes AISTATS 2017
Spatial Decompositions for Large Scale SVMs AISTATS 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses AISTATS 2017
Label Filters for Large Scale Multilabel Classification AISTATS 2017
New bounds on the price of bandit feedback for mistake-bounded online multiclass learning ALT 2017
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours ALT 2017
Preference-based Teaching of Unions of Geometric Objects ALT 2017
An efficient query learning algorithm for zero-suppressed binary decision diagrams ALT 2017
The Power of Random Counterexamples ALT 2017
Efficient Co-Training of Linear Separators under Weak Dependence COLT 2017
Learning Disjunctions of Predicates COLT 2017
Thresholding Based Outlier Robust PCA COLT 2017
Surprising properties of dropout in deep networks COLT 2017
Predicting with Distributions COLT 2017
A Second-order Look at Stability and Generalization COLT 2017