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Classification

15,289 papers

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Papers

On the Learnability of Out-of-distribution Detection JMLR 2024
Minimax Rates for High-Dimensional Random Tessellation Forests JMLR 2024
Materials Discovery using Max K-Armed Bandit JMLR 2024
AMLB: an AutoML Benchmark JMLR 2024
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024
Classification with Deep Neural Networks and Logistic Loss JMLR 2024
Margin-Based Active Learning of Classifiers JMLR 2024
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024
Regimes of No Gain in Multi-class Active Learning JMLR 2024
Fairness guarantees in multi-class classification with demographic parity JMLR 2024
Unified Binary and Multiclass Margin-Based Classification JMLR 2024
Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024
Volterra Neural Networks (VNNs) JMLR 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data JMLR 2024
Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024
Interpretable algorithmic fairness in structured and unstructured data JMLR 2024
MLRegTest: A Benchmark for the Machine Learning of Regular Languages JMLR 2024
aeon: a Python Toolkit for Learning from Time Series JMLR 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Non-splitting Neyman-Pearson Classifiers JMLR 2024
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024
Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024