:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Ruiyang, Bowman, F. DuBois, Lee, Seonjoo
Format:	Preprint
Published:	2024
Subjects:	Methodology Machine Learning
Online Access:	https://arxiv.org/abs/2406.18829
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flexible variable selection in the presence of missing data
by: Williamson, B. D., et al.
Published: (2022)

Imputation of missing values in multi-view data
by: van Loon, Wouter, et al.
Published: (2022)

Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional
by: Li, Qiang, et al.
Published: (2025)

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

Predicting missing values: A good idea?
by: van Buuren, Stef
Published: (2026)

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
by: Das, Pramit, et al.
Published: (2025)

Using Platt's scaling for calibration after undersampling -- limitations and how to address them
by: Phelps, Nathan, et al.
Published: (2024)

Empirical Bayes Linked Matrix Decomposition
by: Lock, Eric F.
Published: (2024)

Review for Handling Missing Data with special missing mechanism
by: Zhou, Youran, et al.
Published: (2024)

Augmented transfer regression learning for completely missing covariates
by: Zhao, Huali, et al.
Published: (2026)

Bayesian ICA with super-Gaussian Source Priors
by: Datta, Jyotishka, et al.
Published: (2024)

Transductive Conformal Inference for Full Ranking
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)

Multiple Linked Tensor Factorization
by: Kang, Zhiyu, et al.
Published: (2025)

Unified Conformalized Multiple Testing with Full Data Efficiency
by: Huo, Yuyang, et al.
Published: (2025)

Linking Model Intervention to Causal Interpretation in Model Explanation
by: Cheng, Debo, et al.
Published: (2024)

Causal DAG Summarization (Full Version)
by: Zeng, Anna, et al.
Published: (2025)

Model-agnostic information transfer and fusion for classification with label noise
by: Guojun, Zhu, et al.
Published: (2026)

Joint Linked Component Analysis for Multiview Data
by: Xiao, Lin, et al.
Published: (2024)

Deep learning with missing data
by: Ma, Tianyi, et al.
Published: (2025)

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

Learned harmonic mean estimation of the marginal likelihood for multimodal posteriors with flow matching
by: Polanska, Alicja, et al.
Published: (2026)

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

Review on Determining the Number of Communities in Network Data
by: Du, Zhengyuan, et al.
Published: (2025)

A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link
by: Weine, Eric, et al.
Published: (2026)

Network-based Neighborhood regression
by: Zhen, Yaoming, et al.
Published: (2024)

SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
by: Islam, H M Mohaimanul, et al.
Published: (2024)

Overcoming error-in-variable problem in data-driven model discovery by orthogonal distance regression
by: Fung, Lloyd
Published: (2025)

Nonparametric estimation of time-varying network connections by multi-stage smoothing
by: Lee, Jeonghwan, et al.
Published: (2026)

Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem
by: Favaro, Stefano, et al.
Published: (2024)

Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
by: Goddard, Austin, et al.
Published: (2024)

Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models
by: Tan, Pengcheng, et al.
Published: (2026)

A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
by: Du, Honglin, et al.
Published: (2026)

CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning
by: Li, Mingyuan, et al.
Published: (2025)

A variational inference framework for inverse problems
by: Maestrini, Luca, et al.
Published: (2021)

Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
by: Zhang, Jennifer Y., et al.
Published: (2025)

HNCI: High-Dimensional Network Causal Inference
by: Du, Wenqin, et al.
Published: (2024)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
by: Lee, Seungyeon, et al.
Published: (2024)

Signal Panel Alerts Users to Reader-Printer Condition.
by: DuBois, Henry J.
Published: (1984)

A unified Bayesian framework for interval hypothesis testing in clinical trials
by: Chakraborty, Abhisek, et al.
Published: (2024)

Doubly-Regressing Approach for Subgroup Fairness
by: Kim, Kunwoong, et al.
Published: (2025)