Saved in:
| Main Authors: | van Leeuwen, Peter Jan, Chiu, J. Christine, Yang, C. Kevin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.20550 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unifying small area estimators based on area-level and unit-level models through calibration
by: Acero, William, et al.
Published: (2024)
by: Acero, William, et al.
Published: (2024)
A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies
by: Liu, Qingyang, et al.
Published: (2025)
by: Liu, Qingyang, et al.
Published: (2025)
Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
by: Alcacer, Aleix, et al.
Published: (2025)
by: Alcacer, Aleix, et al.
Published: (2025)
Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025)
by: Zuo, Yijun
Published: (2025)
Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
by: Gevorgyan, Hayk, et al.
Published: (2026)
by: Gevorgyan, Hayk, et al.
Published: (2026)
An Imbalance-Robust Evaluation Framework for Extreme Risk Forecasts
by: Nikolopoulos, Sotirios D.
Published: (2025)
by: Nikolopoulos, Sotirios D.
Published: (2025)
Entropic optimal transport beyond product reference couplings: the Gaussian case on Euclidean space
by: Freulon, Paul, et al.
Published: (2025)
by: Freulon, Paul, et al.
Published: (2025)
Examining the robustness of a model selection procedure in the binary latent block model through a language placement test data set
by: Brault, Vincent, et al.
Published: (2024)
by: Brault, Vincent, et al.
Published: (2024)
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
by: Imberg, Henrik, et al.
Published: (2022)
by: Imberg, Henrik, et al.
Published: (2022)
Partial Trace-Class Bayesian Neural Networks
by: Carter, Arran, et al.
Published: (2025)
by: Carter, Arran, et al.
Published: (2025)
SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination
by: Uehara, Eichi
Published: (2026)
by: Uehara, Eichi
Published: (2026)
A logical alarm for misaligned binary classifiers
by: Corrada-Emmanuel, Andrés, et al.
Published: (2024)
by: Corrada-Emmanuel, Andrés, et al.
Published: (2024)
Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
by: Gassiat, Elisabeth, et al.
Published: (2023)
by: Gassiat, Elisabeth, et al.
Published: (2023)
Yet Another Representation of Binary Decision Trees: A Mathematical Demonstration
by: Zhang, Jinxiong
Published: (2021)
by: Zhang, Jinxiong
Published: (2021)
Emulating complex dynamical simulators with random Fourier features
by: Mohammadi, Hossein, et al.
Published: (2021)
by: Mohammadi, Hossein, et al.
Published: (2021)
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty
by: Mueller, Joy N., et al.
Published: (2023)
by: Mueller, Joy N., et al.
Published: (2023)
Evolving Voices Based on Temporal Poisson Factorisation
by: Vávra, Jan, et al.
Published: (2024)
by: Vávra, Jan, et al.
Published: (2024)
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)
by: Loffredo, Giuseppe, et al.
Published: (2025)
On some practical challenges of conformal prediction
by: Hong, Liang, et al.
Published: (2025)
by: Hong, Liang, et al.
Published: (2025)
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
by: Anderberg, Alastair, et al.
Published: (2024)
by: Anderberg, Alastair, et al.
Published: (2024)
A Unifying Framework for Unsupervised Concept Extraction
by: Squires, Chandler, et al.
Published: (2026)
by: Squires, Chandler, et al.
Published: (2026)
Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation
by: Gao, Yuxuan, et al.
Published: (2026)
by: Gao, Yuxuan, et al.
Published: (2026)
Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers
by: Zhang, Benjamin J., et al.
Published: (2023)
by: Zhang, Benjamin J., et al.
Published: (2023)
Measuring the originality of intellectual property assets based on machine learning outputs
by: Ragot, Sébastien
Published: (2020)
by: Ragot, Sébastien
Published: (2020)
M-estimation under Two-Phase Multiwave Sampling with Applications to Prediction-Powered Inference
by: Kluger, Dan M., et al.
Published: (2026)
by: Kluger, Dan M., et al.
Published: (2026)
Beyond Point Estimates: Distributional Uncertainty in Machine Learning Performance Evaluation
by: Lehmann, Christoph, et al.
Published: (2025)
by: Lehmann, Christoph, et al.
Published: (2025)
Deep learning with missing data
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
by: Knaeble, Brian, et al.
Published: (2024)
by: Knaeble, Brian, et al.
Published: (2024)
Sensitivity Analysis of the Consistency Assumption
by: Knaeble, Brian, et al.
Published: (2025)
by: Knaeble, Brian, et al.
Published: (2025)
Visual analysis of bivariate dependence between continuous random variables
by: Erdely, Arturo, et al.
Published: (2024)
by: Erdely, Arturo, et al.
Published: (2024)
Living Synthetic Benchmarks: A Neutral and Cumulative Framework for Simulation Studies
by: Bartoš, František, et al.
Published: (2025)
by: Bartoš, František, et al.
Published: (2025)
Single-Dataset Meta-Analysis For Many-Analysts And Multiverse Studies
by: Bartoš, František, et al.
Published: (2025)
by: Bartoš, František, et al.
Published: (2025)
Proper Correlation Coefficients for Nominal Random Variables
by: Wermuth, Jan-Lukas
Published: (2025)
by: Wermuth, Jan-Lukas
Published: (2025)
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space
by: Kim, Jakwang, et al.
Published: (2024)
by: Kim, Jakwang, et al.
Published: (2024)
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes
by: Septiandri, Ali Akbar, et al.
Published: (2025)
by: Septiandri, Ali Akbar, et al.
Published: (2025)
A Category-Theoretic Analysis of Conformal Prediction
by: Caprio, Michele
Published: (2025)
by: Caprio, Michele
Published: (2025)
Robustness Auditing for Linear Regression: To Singularity and Beyond
by: Rubinstein, Ittai, et al.
Published: (2024)
by: Rubinstein, Ittai, et al.
Published: (2024)
On the Accuracy of Newton Step and Influence Function Data Attributions
by: Rubinstein, Ittai, et al.
Published: (2025)
by: Rubinstein, Ittai, et al.
Published: (2025)
Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances
by: Zhao, Zhigen, et al.
Published: (2026)
by: Zhao, Zhigen, et al.
Published: (2026)
On the Convergence of the ELBO to Entropy Sums
by: Lücke, Jörg, et al.
Published: (2022)
by: Lücke, Jörg, et al.
Published: (2022)
Similar Items
-
Unifying small area estimators based on area-level and unit-level models through calibration
by: Acero, William, et al.
Published: (2024) -
A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies
by: Liu, Qingyang, et al.
Published: (2025) -
Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
by: Alcacer, Aleix, et al.
Published: (2025) -
Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025) -
Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
by: Gevorgyan, Hayk, et al.
Published: (2026)