Imagen de Portada

Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Peng, Le, Travadi, Yash, He, Chuan, Cui, Ying, Sun, Ju
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
por: Chen, Jiandong, et al.
Publicado: (2026)

Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
por: Mao, Anqi, et al.
Publicado: (2025)

Gradient Imbalance in Direct Preference Optimization
por: Ma, Qinwei, et al.
Publicado: (2025)

LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization Problems
por: Kandora, Paul-Niklas Ken, et al.
Publicado: (2025)

A Bilevel Optimization Framework for Imbalanced Data Classification
por: Medlin, Karen, et al.
Publicado: (2024)

Federated Learning with Convex Global and Local Constraints
por: He, Chuan, et al.
Publicado: (2023)

Effective Bilevel Optimization via Minimax Reformulation
por: Wang, Xiaoyu, et al.
Publicado: (2023)

Optimized Deferral for Imbalanced Settings
por: Cortes, Corinna, et al.
Publicado: (2026)

BinaryPPO: Efficient Policy Optimization for Binary Classification
por: Pandey, Punya Syon, et al.
Publicado: (2026)

Selective Classification Under Distribution Shifts
por: Liang, Hengyue, et al.
Publicado: (2024)

A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification
por: Essomba, Rose Yvette Bandolo, et al.
Publicado: (2026)

Edge Classification on Graphs: New Directions in Topological Imbalance
por: Cheng, Xueqi, et al.
Publicado: (2024)

Sampling Imbalanced Data with Multi-objective Bilevel Optimization
por: Medlin, Karen, et al.
Publicado: (2025)

Distribution-Free Robust Predict-Then-Optimize in Function Spaces
por: Patel, Yash, et al.
Publicado: (2026)

References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
por: Kim, Doyoung, et al.
Publicado: (2025)

Classification Imbalance as Transfer Learning
por: Xia, Eric, et al.
Publicado: (2026)

Local Prompt Optimization
por: Jain, Yash, et al.
Publicado: (2025)

On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance
por: Tang, Qiaoyue, et al.
Publicado: (2025)

Compute Where it Counts: Self Optimizing Language Models
por: Akhauri, Yash, et al.
Publicado: (2026)

Learning Interpretable Point-Based Clinical Risk Scores via Direct Optimization
por: Cui, Ying, et al.
Publicado: (2026)

Direct Regret Optimization in Bayesian Optimization
por: Zhang, Fengxue, et al.
Publicado: (2025)

Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
por: Nguyen, Anh B. H., et al.
Publicado: (2026)

A Fast Graph Search Algorithm with Dynamic Optimization and Reduced Histogram for Discrimination of Binary Classification Problem
por: Xu, Qinwu
Publicado: (2024)

Conformal Inference for Open-Set and Imbalanced Classification
por: Xie, Tianmin, et al.
Publicado: (2025)

Geometric Imbalance in Semi-Supervised Node Classification
por: Yan, Liang, et al.
Publicado: (2023)

Learning Confidence Bounds for Classification with Imbalanced Data
por: Clifford, Matt, et al.
Publicado: (2024)

Graffin: Stand for Tails in Imbalanced Node Classification
por: Qi, Xiaorui, et al.
Publicado: (2024)

Binary Feature Mask Optimization for Feature Selection
por: Lorasdagi, Mehmet E., et al.
Publicado: (2024)

Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
por: Li, Chuantao, et al.
Publicado: (2025)

Optimizing Multidimensional Scaling in Gini Metric Spaces
por: Mussard, Cassandra, et al.
Publicado: (2026)

Optimizing Rank-based Metrics with Blackbox Differentiation
por: Rolínek, Michal, et al.
Publicado: (2019)

Beyond Regrets: Geometric Metrics for Bayesian Optimization
por: Kim, Jungtaek
Publicado: (2024)

Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization
por: Li, Wenxin, et al.
Publicado: (2026)

Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
por: Guan, JingChuan, et al.
Publicado: (2025)

Distributed Direct Preference Optimization
por: Jiang, Zhanhong
Publicado: (2026)

Exact Gauss-Newton Optimization for Training Deep Neural Networks
por: Korbit, Mikalai, et al.
Publicado: (2024)

Kernel-Based Enhanced Oversampling Method for Imbalanced Classification
por: Li, Wenjie, et al.
Publicado: (2025)

Optimal Downsampling for Imbalanced Classification with Generalized Linear Models
por: Chen, Yan, et al.
Publicado: (2024)

Beyond the Markovian Assumption: Robust Optimization via Fractional Weyl Integrals in Imbalanced Data
por: Dorrego, Gustavo A.
Publicado: (2026)

Challenges in Binary Classification
por: Yang, Pengbo, et al.
Publicado: (2024)