Cover Image

Label-free estimation of clinically relevant performance metrics under distribution shifts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Flühmann, Tim, Bissoto, Alceu, Hoang, Trung-Dung, Koch, Lisa M.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Subgroup Performance Analysis in Hidden Stratifications
by: Bissoto, Alceu, et al.
Published: (2025)

A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference
by: Hoang, Trung-Dung, et al.
Published: (2025)

Back to the Basics on Predicting Transfer Performance
by: Chaves, Levy, et al.
Published: (2024)

XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision
by: Correia, Miguel, et al.
Published: (2024)

On the effects of similarity metrics in decentralized deep learning under distributional shift
by: Zec, Edvin Listo, et al.
Published: (2024)

Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
by: Tong, Vinh, et al.
Published: (2025)

Learning to Discretize Denoising Diffusion ODEs
by: Tong, Vinh, et al.
Published: (2024)

Generative models for decision-making under distributional shift
by: Cheng, Xiuyuan, et al.
Published: (2026)

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models
by: Hoang, Dung Anh, et al.
Published: (2025)

Optimizing Multi-Stage Language Models for Effective Text Retrieval
by: Trung, Quang Hoang, et al.
Published: (2024)

Evaluating Precise Geolocation Inference Capabilities of Vision Language Models
by: Jay, Neel, et al.
Published: (2025)

Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
by: Pham, Cuong, et al.
Published: (2025)

Sharpness-Aware Data Generation for Zero-shot Quantization
by: Hoang-Anh, Dung, et al.
Published: (2025)

Evaluation of autonomous systems under data distribution shifts
by: Sikar, Daniel, et al.
Published: (2024)

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)

Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
by: Pham, Cuong, et al.
Published: (2025)

Learning from Label Proportions and Covariate-shifted Instances
by: Singh, Sagalpreet, et al.
Published: (2024)

Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
by: Joo, Taejong, et al.
Published: (2024)

Vector preference-based contextual bandits under distributional shifts
by: Shukla, Apurv, et al.
Published: (2025)

Behavior of prediction performance metrics with rare events
by: Minus, Emily, et al.
Published: (2025)

Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
by: Young, Elliot H., et al.
Published: (2025)

Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity
by: Lang, Junjun, et al.
Published: (2026)

Robust prediction under missingness shifts
by: Rockenschaub, Patrick, et al.
Published: (2024)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval
by: Trung, Quang Hoang, et al.
Published: (2024)

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance
by: Delahunt, Charles B., et al.
Published: (2026)

Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
by: Sun, Susu, et al.
Published: (2024)

LNPT: Label-free Network Pruning and Training
by: Xiao, Jinying, et al.
Published: (2024)

Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
by: Nguyen, Quang-Huy, et al.
Published: (2023)

Label-shift robust federated feature screening for high-dimensional classification
by: Qin, Qi, et al.
Published: (2025)

Robust performance metrics for imbalanced classification problems
by: Holzmann, Hajo, et al.
Published: (2024)

Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
by: Rouzoumka, Y. A., et al.
Published: (2025)

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
by: Jin, Hongyi Henry, et al.
Published: (2025)

SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
by: Le, Trung Hoang, et al.
Published: (2025)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)

A Transition System Abstraction Framework for Neural Network Dynamical System Models
by: Yang, Yejiang, et al.
Published: (2024)

Towards Stability of Parameter-free Optimization
by: Pang, Yijiang, et al.
Published: (2024)

Improving importance estimation in covariate shift for providing accurate prediction error
by: Fdez-Díaz, Laura, et al.
Published: (2024)

Seismic Traveltime Tomography with Label-free Learning
by: Wang, Feng, et al.
Published: (2024)

Legitimate ground-truth-free metrics for deep uncertainty classification scoring
by: Pignet, Arthur, et al.
Published: (2024)