Saved in:
| Main Authors: | Han, Xizewen, Zhou, Mingyuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.01813 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
by: Song, Xinran, et al.
Published: (2025)
by: Song, Xinran, et al.
Published: (2025)
Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
by: Zhou, Ya, et al.
Published: (2026)
by: Zhou, Ya, et al.
Published: (2026)
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)
by: Saad, Feras, et al.
Published: (2024)
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
by: Shirakawa, Toru, et al.
Published: (2024)
by: Shirakawa, Toru, et al.
Published: (2024)
Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)
ConfHit: Conformal Generative Design with Oracle Free Guarantees
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
Estimating Item Difficulty with Large Language Models as Experts
by: Kolesnikova, Diana, et al.
Published: (2026)
by: Kolesnikova, Diana, et al.
Published: (2026)
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
by: Weisser, Dominic, et al.
Published: (2026)
by: Weisser, Dominic, et al.
Published: (2026)
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)
by: Plecko, Drago, et al.
Published: (2025)
Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
by: Xu, Zhiyu, et al.
Published: (2025)
by: Xu, Zhiyu, et al.
Published: (2025)
Causal Machine Learning for Surgical Interventions
by: Tamo, J. Ben, et al.
Published: (2025)
by: Tamo, J. Ben, et al.
Published: (2025)
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
by: Chen, Tianyu, et al.
Published: (2023)
by: Chen, Tianyu, et al.
Published: (2023)
Causal Graph Recovery in Neuroimaging through Answer Set Programming
by: Abavisani, Mohammadsajad, et al.
Published: (2025)
by: Abavisani, Mohammadsajad, et al.
Published: (2025)
Fairboard: a quantitative framework for equity assessment of healthcare models
by: Ruffle, James K., et al.
Published: (2026)
by: Ruffle, James K., et al.
Published: (2026)
Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
by: Braun, Sacha, et al.
Published: (2026)
by: Braun, Sacha, et al.
Published: (2026)
LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
by: Lee, Po-Han, et al.
Published: (2025)
by: Lee, Po-Han, et al.
Published: (2025)
Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling
by: Hovmand, Peter S., et al.
Published: (2025)
by: Hovmand, Peter S., et al.
Published: (2025)
Removing Spurious Correlation from Neural Network Interpretations
by: Fotouhi, Milad, et al.
Published: (2024)
by: Fotouhi, Milad, et al.
Published: (2024)
Language Models as Causal Effect Generators
by: Bynum, Lucius E. J., et al.
Published: (2024)
by: Bynum, Lucius E. J., et al.
Published: (2024)
Auditing Fairness by Betting
by: Chugg, Ben, et al.
Published: (2023)
by: Chugg, Ben, et al.
Published: (2023)
Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)
by: Doumèche, Nathan, et al.
Published: (2025)
An Optimal House Price Prediction Algorithm: XGBoost
by: Sharma, Hemlata, et al.
Published: (2024)
by: Sharma, Hemlata, et al.
Published: (2024)
Boosting with copula-based components
by: Brant, Simon Boge, et al.
Published: (2022)
by: Brant, Simon Boge, et al.
Published: (2022)
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
by: Ge, Heng, et al.
Published: (2025)
by: Ge, Heng, et al.
Published: (2025)
A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
by: Cui, Elvis Han, et al.
Published: (2025)
by: Cui, Elvis Han, et al.
Published: (2025)
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
by: Han, Sangil, et al.
Published: (2025)
by: Han, Sangil, et al.
Published: (2025)
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
by: Zhou, Yunzhe, et al.
Published: (2024)
by: Zhou, Yunzhe, et al.
Published: (2024)
Forecast reconciliation with non-linear constraints
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
by: Zhou, Zihan, et al.
Published: (2024)
by: Zhou, Zihan, et al.
Published: (2024)
Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)
by: Han, Sukjin
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
SynthTree: Co-supervised Local Model Synthesis for Explainable Prediction
by: Kuriabov, Evgenii, et al.
Published: (2024)
by: Kuriabov, Evgenii, et al.
Published: (2024)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
by: Han, Larry, et al.
Published: (2024)
by: Han, Larry, et al.
Published: (2024)
A Tutorial on Asymptotic Properties for Biostatisticians with Applications to COVID-19 Data
by: Cui, Elvis Han
Published: (2022)
by: Cui, Elvis Han
Published: (2022)
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Likelihood Matching for Diffusion Models
by: Qian, Lei, et al.
Published: (2025)
by: Qian, Lei, et al.
Published: (2025)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
When prompt perturbations break your A/B test: A valid statistical test for generative surveying
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
Similar Items
-
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
by: Song, Xinran, et al.
Published: (2025) -
Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
by: Zhou, Ya, et al.
Published: (2026) -
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024) -
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
by: Shirakawa, Toru, et al.
Published: (2024) -
Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)