:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Panagopoulos, George
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.10430
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uplift Modeling Under Limited Supervision
by: Panagopoulos, George, et al.
Published: (2024)

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
by: Noroozizadeh, Shahriar, et al.
Published: (2026)

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
by: Chauhan, Vinod Kumar, et al.
Published: (2025)

Disentangled Graph Autoencoder for Treatment Effect Estimation
by: Fan, Di, et al.
Published: (2024)

Estimating Treatment Effects with Independent Component Analysis
by: Reizinger, Patrik, et al.
Published: (2025)

Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
by: Lin, Xiaofeng, et al.
Published: (2026)

Deep Disentangled Representation Network for Treatment Effect Estimation
by: Meng, Hui, et al.
Published: (2025)

One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
by: Janusz, Mikołaj, et al.
Published: (2025)

Defining Expertise: Applications to Treatment Effect Estimation
by: Hüyük, Alihan, et al.
Published: (2024)

Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2023)

Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
by: Hsu, Chan, et al.
Published: (2024)

Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2024)

Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
by: Cai, Hengrui, et al.
Published: (2024)

DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
by: Jiang, Qile, et al.
Published: (2025)

OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
by: Renda, Alana, et al.
Published: (2025)

PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation
by: Lin, Zichuan, et al.
Published: (2025)

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
by: Wang, Yingrong, et al.
Published: (2024)

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
by: Huang, Yiyan, et al.
Published: (2024)

Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
by: Yin, Changchang, et al.
Published: (2025)

USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
by: Chen, Tsao-Lun, et al.
Published: (2026)

Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization
by: Liu, Kezhao, et al.
Published: (2025)

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
by: Liu, Ruoqi, et al.
Published: (2024)

Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
by: Chen, Peter, et al.
Published: (2025)

I See, Therefore I Do: Estimating Causal Effects for Image Treatments
by: Thorat, Abhinav, et al.
Published: (2024)

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
by: Gazdieva, Milena, et al.
Published: (2024)

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness
by: Landgraf, Steven, et al.
Published: (2025)

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory
by: Dong, Songwei, et al.
Published: (2026)

Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
by: Ferrini, Francesco, et al.
Published: (2026)

Semi-supervised CAPP Transformer Learning via Pseudo-labeling
by: Gross, Dennis, et al.
Published: (2026)

LASER: Language Model Regression for Semi-Structured Workflow Resource and Runtime Estimation
by: Yin, Yuxuan, et al.
Published: (2025)

Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
by: Zhang, Runze, et al.
Published: (2025)

Time Series Treatment Effects Analysis with Always-Missing Controls
by: Shu, Juan, et al.
Published: (2025)

Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
by: Mahdavi, Hamed, et al.
Published: (2025)

Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
by: Nasvytis, Linas, et al.
Published: (2024)

Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
by: Chen, Zihan, et al.
Published: (2025)

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
by: Zhang, Xuelin, et al.
Published: (2026)

Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
by: Choi, Jaemoo, et al.
Published: (2026)

Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation
by: Kong, Yaxuan, et al.
Published: (2025)

NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
by: Alkin, Benedikt, et al.
Published: (2024)