:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kozhevnikova, Stefaniya, Yukhnenko, Denis, Scola, Giulio, Fazel, Seena
Format:	Preprint
Published:	2025
Subjects:	Methodology Machine Learning
Online Access:	https://arxiv.org/abs/2511.23118
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Task Ecologies and the Evolution of World-Tracking Representations in Large Language Models
by: Riva, Giulio Valentino Dalla
Published: (2026)

Machine learning approaches for interpretable antibody property prediction using structural data
by: Michalewicz, Kevin, et al.
Published: (2025)

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025)

Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
by: Chatton, Arthur, et al.
Published: (2023)

Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)

Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
by: Perkonoja, Katariina, et al.
Published: (2023)

Random Dot Product Graphs as Dynamical Systems: Limitations and Opportunities
by: Riva, Giulio Valentino Dalla
Published: (2026)

Intensity Dot Product Graphs
by: Riva, Giulio Valentino Dalla, et al.
Published: (2026)

Detecting critical treatment effect bias in small subgroups
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)

Design-based conformal prediction
by: Wieczorek, Jerzy
Published: (2023)

Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
by: van der Laan, Lars, et al.
Published: (2024)

Powerful batch conformal prediction for classification
by: Gazin, Ulysse, et al.
Published: (2024)

Conformal prediction for frequency-severity modeling
by: Graziadei, Helton, et al.
Published: (2023)

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
by: Jiang, Cong, et al.
Published: (2023)

Online conformal prediction with decaying step sizes
by: Angelopoulos, Anastasios N., et al.
Published: (2024)

Holdouts set for safe predictive model updating
by: Haidar-Wehbe, Sami, et al.
Published: (2022)

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
by: Alabdallah, Abdallah, et al.
Published: (2022)

A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions
by: van Amsterdam, Wouter A. C.
Published: (2024)

Variational predictive resampling
by: Battaglia, Laura, et al.
Published: (2026)

Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)

Conformal link prediction for false discovery rate control
by: Marandon, Ariane
Published: (2023)

Conformal prediction for full and sparse polynomial chaos expansions
by: Hatstatt, A., et al.
Published: (2026)

Projected random forests and conformal prediction of circular data
by: F., Paulo C. Marques, et al.
Published: (2024)

Formalising causal inference as prediction on a target population
by: Höltgen, Benedikt, et al.
Published: (2024)

Predictive variational inference: Learn the predictively optimal posterior distribution
by: Lai, Jinlin, et al.
Published: (2024)

Causal inference using invariant prediction: identification and confidence intervals
by: Peters, Jonas, et al.
Published: (2015)

missForestPredict -- Missing data imputation for prediction settings
by: Albu, Elena, et al.
Published: (2024)

Online scalable Gaussian processes with conformal prediction for guaranteed coverage
by: Xu, Jinwen, et al.
Published: (2024)

Towards a pretrained deep learning estimator of the Linfoot informational correlation
by: Berg, Stéphanie M. van den, et al.
Published: (2025)

Deep classifier kriging for probabilistic spatial prediction of air quality index
by: Chen, Junyu, et al.
Published: (2025)

Large language model validity via enhanced conformal prediction methods
by: Cherian, John J., et al.
Published: (2024)

When accurate prediction models yield harmful self-fulfilling prophecies
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)

Causal-learn: Causal Discovery in Python
by: Zheng, Yujia, et al.
Published: (2023)

Generalized Bayesian deep reinforcement learning
by: Roy, Shreya Sinha, et al.
Published: (2024)

Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms
by: Blocher, Hannah, et al.
Published: (2023)

Invariant Causal Set Covering Machines
by: Godon, Thibaud, et al.
Published: (2023)

Interpretable Machine Learning for Survival Analysis
by: Langbein, Sophie Hanna, et al.
Published: (2024)

Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches
by: Pion, Aurélien, et al.
Published: (2025)

Prediction De-Correlated Inference: A safe approach for post-prediction inference
by: Gan, Feng, et al.
Published: (2023)

Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
by: Van Calster, Ben, et al.
Published: (2024)