Saved in:
| Main Authors: | Yang, Tianyu, Noor-E-Alam, Md. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.27307 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
by: Yang, Tianyu, et al.
Published: (2025)
by: Yang, Tianyu, et al.
Published: (2025)
A Two-Stage Interpretable Matching Framework for Causal Inference
by: Shikalgar, Sahil, et al.
Published: (2025)
by: Shikalgar, Sahil, et al.
Published: (2025)
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
by: Islam, Md Saiful, et al.
Published: (2021)
by: Islam, Md Saiful, et al.
Published: (2021)
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
by: Alam, Md Ferdous, et al.
Published: (2024)
by: Alam, Md Ferdous, et al.
Published: (2024)
Statistical Inference via Generative Models: Flow Matching and Causal Inference
by: Eguchi, Shinto
Published: (2026)
by: Eguchi, Shinto
Published: (2026)
Neural Score Matching for High-Dimensional Causal Inference
by: Clivio, Oscar, et al.
Published: (2022)
by: Clivio, Oscar, et al.
Published: (2022)
A Framework for Predictive Directional Trading Based on Volatility and Causal Inference
by: Letteri, Ivan
Published: (2025)
by: Letteri, Ivan
Published: (2025)
Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning
by: Meherab, Md Muntaqim, et al.
Published: (2026)
by: Meherab, Md Muntaqim, et al.
Published: (2026)
Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
by: Guo, Tianyu, et al.
Published: (2024)
by: Guo, Tianyu, et al.
Published: (2024)
Inference-Time Compute Scaling For Flow Matching
by: Stecklov, Adam, et al.
Published: (2025)
by: Stecklov, Adam, et al.
Published: (2025)
Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
by: Wan, Zhengyan, et al.
Published: (2025)
by: Wan, Zhengyan, et al.
Published: (2025)
Latent Target Score Matching, with an application to Simulation-Based Inference
by: Ko, Joohwan, et al.
Published: (2026)
by: Ko, Joohwan, et al.
Published: (2026)
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
by: Zhang, Ruixiang, et al.
Published: (2025)
by: Zhang, Ruixiang, et al.
Published: (2025)
Tokenised Flow Matching for Hierarchical Simulation Based Inference
by: Charles, Giovanni, et al.
Published: (2026)
by: Charles, Giovanni, et al.
Published: (2026)
Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
by: Zhu, Hongtao, et al.
Published: (2024)
by: Zhu, Hongtao, et al.
Published: (2024)
R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
by: Alam, Md Tanvirul, et al.
Published: (2024)
by: Alam, Md Tanvirul, et al.
Published: (2024)
Discrete Tilt Matching
by: Chen, Yuyuan, et al.
Published: (2026)
by: Chen, Yuyuan, et al.
Published: (2026)
Discrete Adjoint Matching
by: So, Oswin, et al.
Published: (2026)
by: So, Oswin, et al.
Published: (2026)
RKUM: An R Package for Robust Kernel Unsupervised Methods
by: Alam, Md Ashad
Published: (2025)
by: Alam, Md Ashad
Published: (2025)
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)
Flow Matching for Robust Simulation-Based Inference under Model Misspecification
by: Ruhlmann, Pierre-Louis, et al.
Published: (2025)
by: Ruhlmann, Pierre-Louis, et al.
Published: (2025)
A Latent Causal Inference Framework for Ordinal Variables
by: Scauda, Martina, et al.
Published: (2025)
by: Scauda, Martina, et al.
Published: (2025)
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
by: Rahman, Md Musfiqur, et al.
Published: (2024)
by: Rahman, Md Musfiqur, et al.
Published: (2024)
Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
by: Dong, Xinshuai, et al.
Published: (2025)
by: Dong, Xinshuai, et al.
Published: (2025)
Causality--Δ: Jacobian-Based Dependency Analysis in Flow Matching Models
by: Rezvan, Reza, et al.
Published: (2026)
by: Rezvan, Reza, et al.
Published: (2026)
Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)
An Efficient Computational Framework for Discrete Fuzzy Numbers Based on Total Orders
by: Mir, Arnau, et al.
Published: (2025)
by: Mir, Arnau, et al.
Published: (2025)
BD Currency Detection: A CNN Based Approach with Mobile App Integration
by: Jaman, Syed Jubayer, et al.
Published: (2025)
by: Jaman, Syed Jubayer, et al.
Published: (2025)
A Causal Inference Framework for Data Rich Environments
by: Abadie, Alberto, et al.
Published: (2025)
by: Abadie, Alberto, et al.
Published: (2025)
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
by: Dhawan, Nikita, et al.
Published: (2026)
by: Dhawan, Nikita, et al.
Published: (2026)
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
by: Clivio, Oscar, et al.
Published: (2024)
by: Clivio, Oscar, et al.
Published: (2024)
Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
by: Amaranath, Pracheta, et al.
Published: (2025)
by: Amaranath, Pracheta, et al.
Published: (2025)
$α$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
by: Cheng, Chaoran, et al.
Published: (2025)
by: Cheng, Chaoran, et al.
Published: (2025)
A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis
by: Arifuzzaman, Md., et al.
Published: (2024)
by: Arifuzzaman, Md., et al.
Published: (2024)
Discrete Flow Matching
by: Gat, Itai, et al.
Published: (2024)
by: Gat, Itai, et al.
Published: (2024)
Data-Driven Influence Functions for Optimization-Based Causal Inference
by: Jordan, Michael I., et al.
Published: (2022)
by: Jordan, Michael I., et al.
Published: (2022)
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
by: Qi, Jiaxing, et al.
Published: (2025)
by: Qi, Jiaxing, et al.
Published: (2025)
Flow Matching for Offline Reinforcement Learning with Discrete Actions
by: Khan, Fairoz Nower, et al.
Published: (2026)
by: Khan, Fairoz Nower, et al.
Published: (2026)
Similar Items
-
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
by: Yang, Tianyu, et al.
Published: (2025) -
A Two-Stage Interpretable Matching Framework for Causal Inference
by: Shikalgar, Sahil, et al.
Published: (2025) -
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
by: Islam, Md Saiful, et al.
Published: (2021) -
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
by: Alam, Md Ferdous, et al.
Published: (2024) -
Statistical Inference via Generative Models: Flow Matching and Causal Inference
by: Eguchi, Shinto
Published: (2026)