Learning Confidence Bounds for Classification with Imbalanced Data
Fuente:
arXiv
Saved in:
| Main Authors: | Clifford, Matt, Erskine, Jonathan, Hepburn, Alexander, Santos-Rodríguez, Raúl, Garcia-Garcia, Dario |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
by: Erskine, Jonathan, et al.
Published: (2024)
by: Erskine, Jonathan, et al.
Published: (2024)
Active Query Selection for Crowd-Based Reinforcement Learning
by: Erskine, Jonathan, et al.
Published: (2025)
by: Erskine, Jonathan, et al.
Published: (2025)
The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
by: Namgyal, Tashi, et al.
Published: (2024)
by: Namgyal, Tashi, et al.
Published: (2024)
Image Statistics Predict the Sensitivity of Perceptual Quality Metrics
by: Hepburn, Alexander, et al.
Published: (2023)
by: Hepburn, Alexander, et al.
Published: (2023)
Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal
by: West, Patricia, et al.
Published: (2025)
by: West, Patricia, et al.
Published: (2025)
Classification Imbalance as Transfer Learning
by: Xia, Eric, et al.
Published: (2026)
by: Xia, Eric, et al.
Published: (2026)
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
by: Trillos, Nicolas Garcia, et al.
Published: (2024)
by: Trillos, Nicolas Garcia, et al.
Published: (2024)
Linear Mode Connectivity under Data Shifts for Deep Ensembles of Image Classifiers
by: Hepburn, C., et al.
Published: (2025)
by: Hepburn, C., et al.
Published: (2025)
Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change
by: Balloch, Jonathan Clifford
Published: (2025)
by: Balloch, Jonathan Clifford
Published: (2025)
Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
by: Biswas, Md Badsha
Published: (2025)
by: Biswas, Md Badsha
Published: (2025)
A Bilevel Optimization Framework for Imbalanced Data Classification
by: Medlin, Karen, et al.
Published: (2024)
by: Medlin, Karen, et al.
Published: (2024)
A Comprehensive Survey on Imbalanced Data Learning
by: Gao, Xinyi, et al.
Published: (2025)
by: Gao, Xinyi, et al.
Published: (2025)
Assisted Learning for Organizations with Limited Imbalanced Data
by: Chen, Cheng, et al.
Published: (2021)
by: Chen, Cheng, et al.
Published: (2021)
Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification
by: Kishanthan, Sukumar, et al.
Published: (2025)
by: Kishanthan, Sukumar, et al.
Published: (2025)
Hierarchical Upper Confidence Bounds for Constrained Online Learning
by: Baheri, Ali
Published: (2024)
by: Baheri, Ali
Published: (2024)
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
by: D'souza, Annie, et al.
Published: (2024)
by: D'souza, Annie, et al.
Published: (2024)
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
by: Malialis, Kleanthis, et al.
Published: (2022)
by: Malialis, Kleanthis, et al.
Published: (2022)
Learning Majority-to-Minority Transformations with MMD and Triplet Loss for Imbalanced Classification
by: Cha, Suman, et al.
Published: (2025)
by: Cha, Suman, et al.
Published: (2025)
State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)
by: Hepburn, Charles A., et al.
Published: (2024)
Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2025)
by: Bui, Ha Manh, et al.
Published: (2025)
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
by: Tamás, Ambrus, et al.
Published: (2024)
by: Tamás, Ambrus, et al.
Published: (2024)
Randomized Confidence Bounds for Stochastic Partial Monitoring
by: Heuillet, Maxime, et al.
Published: (2024)
by: Heuillet, Maxime, et al.
Published: (2024)
Tighter Confidence Bounds for Sequential Kernel Regression
by: Flynn, Hamish, et al.
Published: (2024)
by: Flynn, Hamish, et al.
Published: (2024)
Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space for Imbalanced Data
by: Zhong, Lingyun
Published: (2024)
by: Zhong, Lingyun
Published: (2024)
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification
by: Rustamov, Zahiriddin, et al.
Published: (2024)
by: Rustamov, Zahiriddin, et al.
Published: (2024)
Time Series Data Augmentation as an Imbalanced Learning Problem
by: Cerqueira, Vitor, et al.
Published: (2024)
by: Cerqueira, Vitor, et al.
Published: (2024)
Graffin: Stand for Tails in Imbalanced Node Classification
by: Qi, Xiaorui, et al.
Published: (2024)
by: Qi, Xiaorui, et al.
Published: (2024)
Geometric Imbalance in Semi-Supervised Node Classification
by: Yan, Liang, et al.
Published: (2023)
by: Yan, Liang, et al.
Published: (2023)
Conformal Inference for Open-Set and Imbalanced Classification
by: Xie, Tianmin, et al.
Published: (2025)
by: Xie, Tianmin, et al.
Published: (2025)
Bias-Corrected Data Synthesis for Imbalanced Learning
by: Lyu, Pengfei, et al.
Published: (2025)
by: Lyu, Pengfei, et al.
Published: (2025)
Lower Bounds on Adversarial Robustness for Multiclass Classification with General Loss Functions
by: Trillos, Camilo Andrés García, et al.
Published: (2025)
by: Trillos, Camilo Andrés García, et al.
Published: (2025)
Feedback-guided Data Synthesis for Imbalanced Classification
by: Hemmat, Reyhane Askari, et al.
Published: (2023)
by: Hemmat, Reyhane Askari, et al.
Published: (2023)
Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
by: McDowell, Samuel, et al.
Published: (2026)
by: McDowell, Samuel, et al.
Published: (2026)
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting
by: Farhang, Sadegh, et al.
Published: (2024)
by: Farhang, Sadegh, et al.
Published: (2024)
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning
by: M, Jayasudha, et al.
Published: (2023)
by: M, Jayasudha, et al.
Published: (2023)
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
by: Iwazaki, Shogo
Published: (2025)
by: Iwazaki, Shogo
Published: (2025)
Class-Dependent Hybrid Data Augmentation for Multiclass Migraine Classification under Severe Class Imbalance
by: Somón, Elvin, et al.
Published: (2026)
by: Somón, Elvin, et al.
Published: (2026)
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
by: Kaushik, Chiraag, et al.
Published: (2024)
by: Kaushik, Chiraag, et al.
Published: (2024)
Improved Online Confidence Bounds for Multinomial Logistic Bandits
by: Lee, Joongkyu, et al.
Published: (2025)
by: Lee, Joongkyu, et al.
Published: (2025)
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
by: Naik, Shraddha M., et al.
Published: (2023)
by: Naik, Shraddha M., et al.
Published: (2023)
Similar Items
-
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
by: Erskine, Jonathan, et al.
Published: (2024) -
Active Query Selection for Crowd-Based Reinforcement Learning
by: Erskine, Jonathan, et al.
Published: (2025) -
The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
by: Namgyal, Tashi, et al.
Published: (2024) -
Image Statistics Predict the Sensitivity of Perceptual Quality Metrics
by: Hepburn, Alexander, et al.
Published: (2023) -
Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal
by: West, Patricia, et al.
Published: (2025)