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Classification

15,805 papers

Papers per year

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Papers

Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019
Classification using margin pursuit AISTATS 2019
Conditional Sparse $L_p$-norm Regression With Optimal Probability AISTATS 2019
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent AISTATS 2019
Online Multiclass Boosting with Bandit Feedback AISTATS 2019
From Cost-Sensitive Classification to Tight F-measure Bounds AISTATS 2019
Feature subset selection for the multinomial logit model via mixed-integer optimization AISTATS 2019
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling AISTATS 2019
Learning Rules-First Classifiers AISTATS 2019
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring AISTATS 2019
Learning Natural Programs from a Few Examples in Real-Time AISTATS 2019
Large-Margin Classification in Hyperbolic Space AISTATS 2019
Sharp Analysis of Learning with Discrete Losses AISTATS 2019
Stochastic Negative Mining for Learning with Large Output Spaces AISTATS 2019
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019
Interpretable Cascade Classifiers with Abstention AISTATS 2019
Revisiting Adversarial Risk AISTATS 2019
Two-temperature logistic regression based on the Tsallis divergence AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019
Deep Topic Models for Multi-label Learning AISTATS 2019
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate AISTATS 2019
Best of many worlds: Robust model selection for online supervised learning AISTATS 2019