Cover Image

Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	McDowell, Samuel, Stromberg, Nathan, Sankar, Lalitha
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
by: Welfert, Monica, et al.
Published: (2024)

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
by: Rodriguez, Esther, et al.
Published: (2025)

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
by: Stromberg, Nathan, et al.
Published: (2025)

GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
by: Welfert, Monica, et al.
Published: (2025)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)

Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions
by: Tasnim, Naima, et al.
Published: (2025)

On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning
by: Guleria, Arpit, et al.
Published: (2024)

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
by: Gilani, Atefeh, et al.
Published: (2026)

Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
by: Nawaz, Ali, et al.
Published: (2025)

Generalized Dual Discriminator GANs
by: Chandana, Penukonda Naga, et al.
Published: (2025)

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
by: Stromberg, Nathan, et al.
Published: (2024)

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
by: Sefidgaran, Milad, et al.
Published: (2025)

A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification
by: Çakmak, Burak, et al.
Published: (2024)

State-Space Models for Tabular Prior-Data Fitted Networks
by: Koch, Felix, et al.
Published: (2025)

Exponential convergence rate for Iterative Markovian Fitting
by: Sokolov, Kirill, et al.
Published: (2025)

Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection
by: Beck, Nathan, et al.
Published: (2024)

Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
by: D'souza, Annie, et al.
Published: (2024)

Information-Theoretic Privacy with General Distortion Constraints
by: Kalantari, Kousha, et al.
Published: (2017)

Differentially Private Synthetic High-dimensional Tabular Stream
by: Kumar, Girish, et al.
Published: (2024)

TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
by: Zhao, Tianqi, et al.
Published: (2026)

Generalization Error of Graph Neural Networks in the Mean-field Regime
by: Aminian, Gholamali, et al.
Published: (2024)

A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis
by: Bacha, Soufiane, et al.
Published: (2025)

The Art of Misclassification: Too Many Classes, Not Enough Points
by: Franco, Mario, et al.
Published: (2025)

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
by: Sefidgaran, Milad, et al.
Published: (2025)

An Efficient Classification Model for Cyber Text
by: Hossen, Md Sakhawat, et al.
Published: (2025)

A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data
by: Vipulananthan, Pragatheeswaran, et al.
Published: (2025)

Robust Model Selection of Gaussian Graphical Models
by: Zahin, Abrar, et al.
Published: (2022)

Unified Error Correction Code Transformer with Low Complexity
by: Yan, Yongli, et al.
Published: (2024)

Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities
by: Liu, Yanxiao, et al.
Published: (2026)

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
by: Chang, Serina, et al.
Published: (2024)

A Probably Approximately Correct Analysis of Group Testing Algorithms
by: H., Sameera Bharadwaja, et al.
Published: (2024)

New Directions in Text Classification Research: Maximizing The Performance of Sentiment Classification from Limited Data
by: Agustian, Surya, et al.
Published: (2024)

On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
by: Shen, Wei, et al.
Published: (2024)

Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes
by: Gusev, Rostislav, et al.
Published: (2026)

CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes
by: Park, Seong-Joon, et al.
Published: (2024)

A dual basis approach to multidimensional scaling
by: Lichtenberg, Samuel, et al.
Published: (2023)

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
by: Kim, Wall, et al.
Published: (2026)

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
by: Kim, Jinhee, et al.
Published: (2024)

Representative, Informative, and De-Amplifying: Requirements for Robust Bayesian Active Learning under Model Misspecification
by: Tang, Roubing, et al.
Published: (2025)