Learning plug-in surrogate endpoints for randomized experiments
Fuente:
arXiv
Saved in:
| Main Authors: | Margueritte, Alessandro-Umberto, Balcıoğlu, Ahmet Zahid, Krijthe, Jesse, Zachariah, Dave, Johansson, Fredrik D. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identifiable Latent Bandits: Leveraging observational data for personalized decision-making
by: Balcıoğlu, Ahmet Zahid, et al.
Published: (2024)
by: Balcıoğlu, Ahmet Zahid, et al.
Published: (2024)
Learning Treatment Allocations with Risk Control Under Partial Identifiability
by: Ek, Sofia, et al.
Published: (2025)
by: Ek, Sofia, et al.
Published: (2025)
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
by: Karlsson, Rickard, et al.
Published: (2025)
by: Karlsson, Rickard, et al.
Published: (2025)
Adaptive Robust Learning using Latent Bernoulli Variables
by: Karakulev, Aleksandr, et al.
Published: (2023)
by: Karakulev, Aleksandr, et al.
Published: (2023)
Externally Valid Policy Evaluation Combining Trial and Observational Data
by: Ek, Sofia, et al.
Published: (2023)
by: Ek, Sofia, et al.
Published: (2023)
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
by: Johansson, Fredrik D.
Published: (2024)
by: Johansson, Fredrik D.
Published: (2024)
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
by: Karlsson, Rickard K. A., et al.
Published: (2025)
by: Karlsson, Rickard K. A., et al.
Published: (2025)
Certified Inventory Control of Critical Resources
by: Hult, Ludvig, et al.
Published: (2024)
by: Hult, Ludvig, et al.
Published: (2024)
Federated Learning with Heterogeneous and Private Label Sets
by: Breitholtz, Adam, et al.
Published: (2025)
by: Breitholtz, Adam, et al.
Published: (2025)
Anytime-Valid Conformal Risk Control
by: Hultberg, Bror, et al.
Published: (2026)
by: Hultberg, Bror, et al.
Published: (2026)
Prediction Models That Learn to Avoid Missing Values
by: Stempfle, Lena, et al.
Published: (2025)
by: Stempfle, Lena, et al.
Published: (2025)
Active Preference Learning for Ordering Items In- and Out-of-sample
by: Bergström, Herman, et al.
Published: (2024)
by: Bergström, Herman, et al.
Published: (2024)
Latent Order Bandits
by: Carlsson, Emil, et al.
Published: (2026)
by: Carlsson, Emil, et al.
Published: (2026)
Unsupervised domain adaptation by learning using privileged information
by: Breitholtz, Adam, et al.
Published: (2023)
by: Breitholtz, Adam, et al.
Published: (2023)
Latent Preference Bandits
by: Mwai, Newton, et al.
Published: (2025)
by: Mwai, Newton, et al.
Published: (2025)
Qini Curve Estimation under Clustered Network Interference
by: Karlsson, Rickard, et al.
Published: (2025)
by: Karlsson, Rickard, et al.
Published: (2025)
When accurate prediction models yield harmful self-fulfilling prophecies
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
Pure Exploration in Bandits with Linear Constraints
by: Carlsson, Emil, et al.
Published: (2023)
by: Carlsson, Emil, et al.
Published: (2023)
Overcoming label shift with target-aware federated learning
by: Zec, Edvin Listo, et al.
Published: (2024)
by: Zec, Edvin Listo, et al.
Published: (2024)
Deep operator network for surrogate modeling of poroelasticity with random permeability fields
by: Park, Sangjoon, et al.
Published: (2025)
by: Park, Sangjoon, et al.
Published: (2025)
Centered plug-in estimation of Wasserstein distances
by: Papp, Tamás P., et al.
Published: (2022)
by: Papp, Tamás P., et al.
Published: (2022)
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
by: Ribeiro, Antônio H., et al.
Published: (2025)
by: Ribeiro, Antônio H., et al.
Published: (2025)
Handling missing values in clinical machine learning: Insights from an expert study
by: Stempfle, Lena, et al.
Published: (2024)
by: Stempfle, Lena, et al.
Published: (2024)
Pragmatic Policy Development via Interpretable Behavior Cloning
by: Matsson, Anton, et al.
Published: (2025)
by: Matsson, Anton, et al.
Published: (2025)
Expanding the Action Space of LLMs to Reason Beyond Language
by: Yue, Zhongqi, et al.
Published: (2025)
by: Yue, Zhongqi, et al.
Published: (2025)
RNE: plug-and-play diffusion inference-time control and energy-based training
by: He, Jiajun, et al.
Published: (2025)
by: He, Jiajun, et al.
Published: (2025)
A Differential Equation Approach for Wasserstein GANs and Beyond
by: Malik, Zachariah, et al.
Published: (2024)
by: Malik, Zachariah, et al.
Published: (2024)
Clustering by Denoising: Latent plug-and-play diffusion for single-cell data
by: Meier, Dominik, et al.
Published: (2025)
by: Meier, Dominik, et al.
Published: (2025)
MPCritic: A plug-and-play MPC architecture for reinforcement learning
by: Lawrence, Nathan P., et al.
Published: (2025)
by: Lawrence, Nathan P., et al.
Published: (2025)
Best Practices for Machine Learning Experimentation in Scientific Applications
by: Michelucci, Umberto, et al.
Published: (2025)
by: Michelucci, Umberto, et al.
Published: (2025)
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks
by: Ramos, Mayk Caldas, et al.
Published: (2023)
by: Ramos, Mayk Caldas, et al.
Published: (2023)
Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data
by: Iqbal, Zahid
Published: (2025)
by: Iqbal, Zahid
Published: (2025)
Learning surrogate equations for the analysis of an agent-based cancer model
by: Burrage, Kevin, et al.
Published: (2025)
by: Burrage, Kevin, et al.
Published: (2025)
Understanding with toy surrogate models in machine learning
by: Páez, Andrés
Published: (2024)
by: Páez, Andrés
Published: (2024)
Prior Learning in Introspective VAEs
by: Athanasiadis, Ioannis, et al.
Published: (2024)
by: Athanasiadis, Ioannis, et al.
Published: (2024)
Building surrogate models using trajectories of agents trained by Reinforcement Learning
by: Cestero, Julen, et al.
Published: (2025)
by: Cestero, Julen, et al.
Published: (2025)
Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows
by: Mao, Runze, et al.
Published: (2025)
by: Mao, Runze, et al.
Published: (2025)
Personalized Federated Learning under Model Dissimilarity Constraints
by: Erickson, Samuel, et al.
Published: (2025)
by: Erickson, Samuel, et al.
Published: (2025)
Machine Learning and System Identification for Estimation in Physical Systems
by: Carlson, Fredrik Bagge
Published: (2019)
by: Carlson, Fredrik Bagge
Published: (2019)
FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design
by: Wu, Chenxi, et al.
Published: (2025)
by: Wu, Chenxi, et al.
Published: (2025)
Similar Items
-
Identifiable Latent Bandits: Leveraging observational data for personalized decision-making
by: Balcıoğlu, Ahmet Zahid, et al.
Published: (2024) -
Learning Treatment Allocations with Risk Control Under Partial Identifiability
by: Ek, Sofia, et al.
Published: (2025) -
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
by: Karlsson, Rickard, et al.
Published: (2025) -
Adaptive Robust Learning using Latent Bernoulli Variables
by: Karakulev, Aleksandr, et al.
Published: (2023) -
Externally Valid Policy Evaluation Combining Trial and Observational Data
by: Ek, Sofia, et al.
Published: (2023)