Saved in:
| Main Authors: | Khan, Ahmad Saeed, Schaffernicht, Erik, Stork, Johannes Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.20003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
by: Khan, Ahmad Saeed, et al.
Published: (2025)
by: Khan, Ahmad Saeed, et al.
Published: (2025)
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
by: Lahoud, Alan A., et al.
Published: (2025)
by: Lahoud, Alan A., et al.
Published: (2025)
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks
by: Lahoud, Alan A., et al.
Published: (2024)
by: Lahoud, Alan A., et al.
Published: (2024)
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context
by: Lahoud, Alan A., et al.
Published: (2024)
by: Lahoud, Alan A., et al.
Published: (2024)
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
by: Rietz, Finn, et al.
Published: (2024)
by: Rietz, Finn, et al.
Published: (2024)
Deep Disentangled Representation Network for Treatment Effect Estimation
by: Meng, Hui, et al.
Published: (2025)
by: Meng, Hui, et al.
Published: (2025)
Disentangled Graph Autoencoder for Treatment Effect Estimation
by: Fan, Di, et al.
Published: (2024)
by: Fan, Di, et al.
Published: (2024)
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
by: Rietz, Finn, et al.
Published: (2023)
by: Rietz, Finn, et al.
Published: (2023)
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation
by: Cui, Ruijing, et al.
Published: (2024)
by: Cui, Ruijing, et al.
Published: (2024)
On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning
by: Iannotta, Marco, et al.
Published: (2025)
by: Iannotta, Marco, et al.
Published: (2025)
APC-RL: Exceeding Data-Driven Behavior Priors with Adaptive Policy Composition
by: Rietz, Finn, et al.
Published: (2026)
by: Rietz, Finn, et al.
Published: (2026)
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022)
by: Ghoshal, Asish, et al.
Published: (2022)
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
by: Dandl, Susanne, et al.
Published: (2022)
by: Dandl, Susanne, et al.
Published: (2022)
PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation
by: Lin, Zichuan, et al.
Published: (2025)
by: Lin, Zichuan, et al.
Published: (2025)
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
by: Paillard, Joseph, et al.
Published: (2024)
by: Paillard, Joseph, et al.
Published: (2024)
Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies
by: Iannotta, Marco, et al.
Published: (2025)
by: Iannotta, Marco, et al.
Published: (2025)
CaMU: Disentangling Causal Effects in Deep Model Unlearning
by: Shen, Shaofei, et al.
Published: (2024)
by: Shen, Shaofei, et al.
Published: (2024)
Disentangled Double Machine Learning for Accurate Causal Effect Estimation
by: Xiang, Guodu, et al.
Published: (2026)
by: Xiang, Guodu, et al.
Published: (2026)
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
by: Papakostas, Demetrios, et al.
Published: (2024)
by: Papakostas, Demetrios, et al.
Published: (2024)
Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
by: Xie, Yang, et al.
Published: (2024)
by: Xie, Yang, et al.
Published: (2024)
Latent Variable Modeling for Robust Causal Effect Estimation
by: Morimura, Tetsuro, et al.
Published: (2025)
by: Morimura, Tetsuro, et al.
Published: (2025)
Federated Learning for Estimating Heterogeneous Treatment Effects
by: Makhija, Disha, et al.
Published: (2024)
by: Makhija, Disha, et al.
Published: (2024)
Treatment Effect Estimation for Graph-Structured Targets
by: Harada, Shonosuke, et al.
Published: (2024)
by: Harada, Shonosuke, et al.
Published: (2024)
Reliable Selection of Heterogeneous Treatment Effect Estimators
by: Guo, Jiayi, et al.
Published: (2025)
by: Guo, Jiayi, et al.
Published: (2025)
Estimating Aleatoric Uncertainty in the Causal Treatment Effect
by: Xu, Liyuan, et al.
Published: (2026)
by: Xu, Liyuan, et al.
Published: (2026)
Treatment Effect Estimation for Optimal Decision-Making
by: Frauen, Dennis, et al.
Published: (2025)
by: Frauen, Dennis, et al.
Published: (2025)
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies
by: Yang, Shih-Min, et al.
Published: (2025)
by: Yang, Shih-Min, et al.
Published: (2025)
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction
by: Schuessler, Maximilian, et al.
Published: (2025)
by: Schuessler, Maximilian, et al.
Published: (2025)
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
by: Lin, Xiaofeng, et al.
Published: (2026)
by: Lin, Xiaofeng, et al.
Published: (2026)
Cluster Metric Sensitivity to Irrelevant Features
by: McCrory, Miles, et al.
Published: (2024)
by: McCrory, Miles, et al.
Published: (2024)
Sequential Treatment Effect Estimation with Unmeasured Confounders
by: Wang, Yingrong, et al.
Published: (2025)
by: Wang, Yingrong, et al.
Published: (2025)
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
by: Yang, Shih-Min, et al.
Published: (2023)
by: Yang, Shih-Min, et al.
Published: (2023)
Optimal Adaptive Experimental Design for Estimating Treatment Effect
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions
by: Saha, Surojit, et al.
Published: (2025)
by: Saha, Surojit, et al.
Published: (2025)
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
by: Chauhan, Vinod Kumar, et al.
Published: (2025)
by: Chauhan, Vinod Kumar, et al.
Published: (2025)
Disentangle Estimation of Causal Effects from Cross-Silo Data
by: Liu, Yuxuan, et al.
Published: (2024)
by: Liu, Yuxuan, et al.
Published: (2024)
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
by: Ma, Haorui, et al.
Published: (2025)
by: Ma, Haorui, et al.
Published: (2025)
Estimating Dyadic Treatment Effects with Unknown Confounders
by: Hoshino, Tadao, et al.
Published: (2024)
by: Hoshino, Tadao, et al.
Published: (2024)
Estimating Treatment Effects with Independent Component Analysis
by: Reizinger, Patrik, et al.
Published: (2025)
by: Reizinger, Patrik, et al.
Published: (2025)
Similar Items
-
DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
by: Khan, Ahmad Saeed, et al.
Published: (2025) -
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
by: Lahoud, Alan A., et al.
Published: (2025) -
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks
by: Lahoud, Alan A., et al.
Published: (2024) -
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context
by: Lahoud, Alan A., et al.
Published: (2024) -
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
by: Rietz, Finn, et al.
Published: (2024)