First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Ziqi, Lee, Kiljae, Zhang, Yuan, Tang, Weijing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026)
by: Lee, Kiljae, et al.
Published: (2026)
Faithful Group Shapley Value
by: Lee, Kiljae, et al.
Published: (2025)
by: Lee, Kiljae, et al.
Published: (2025)
Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026)
by: Lee, Kiljae, et al.
Published: (2026)
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
by: Lemos, Pablo, et al.
Published: (2024)
by: Lemos, Pablo, et al.
Published: (2024)
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
by: Komanduri, Aneesh, et al.
Published: (2024)
by: Komanduri, Aneesh, et al.
Published: (2024)
Counterfactual Probabilistic Diffusion with Expert Models
by: Mu, Wenhao, et al.
Published: (2025)
by: Mu, Wenhao, et al.
Published: (2025)
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
by: Toth, Christian, et al.
Published: (2024)
by: Toth, Christian, et al.
Published: (2024)
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
by: Wielopolski, Patryk, et al.
Published: (2024)
by: Wielopolski, Patryk, et al.
Published: (2024)
Statistical Tests for Replacing Human Decision Makers with Algorithms
by: Feng, Kai, et al.
Published: (2023)
by: Feng, Kai, et al.
Published: (2023)
Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
The Estimation of Continual Causal Effect for Dataset Shifting Streams
by: Chen, Baining, et al.
Published: (2025)
by: Chen, Baining, et al.
Published: (2025)
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
by: Takayama, Masayuki, et al.
Published: (2024)
by: Takayama, Masayuki, et al.
Published: (2024)
Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
by: Auddy, Arnab, et al.
Published: (2026)
by: Auddy, Arnab, et al.
Published: (2026)
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach
by: Liu, Xiaohui, et al.
Published: (2022)
by: Liu, Xiaohui, et al.
Published: (2022)
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
by: Li, He, et al.
Published: (2025)
by: Li, He, et al.
Published: (2025)
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
by: Park, Sangwoo, et al.
Published: (2025)
by: Park, Sangwoo, et al.
Published: (2025)
Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
by: Du, Xiaojing, et al.
Published: (2025)
by: Du, Xiaojing, et al.
Published: (2025)
Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
by: You, Lei, et al.
Published: (2024)
by: You, Lei, et al.
Published: (2024)
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
by: Zhou, Yidong, et al.
Published: (2025)
by: Zhou, Yidong, et al.
Published: (2025)
Learning Causal Structure of Time Series using Best Order Score Search
by: Mansilla, Irene Gema Castillo, et al.
Published: (2026)
by: Mansilla, Irene Gema Castillo, et al.
Published: (2026)
An Open-Access Benchmark of Statistical and Machine-Learning Anomaly Detection Methods for Battery Applications
by: Pang, Mei-Chin, et al.
Published: (2025)
by: Pang, Mei-Chin, et al.
Published: (2025)
Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals
by: Dong, Zihan, et al.
Published: (2026)
by: Dong, Zihan, et al.
Published: (2026)
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
by: Xie, Feng, et al.
Published: (2023)
by: Xie, Feng, et al.
Published: (2023)
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
by: Michelucci, Umberto, et al.
Published: (2025)
by: Michelucci, Umberto, et al.
Published: (2025)
Compositional Models for Estimating Causal Effects
by: Pruthi, Purva, et al.
Published: (2024)
by: Pruthi, Purva, et al.
Published: (2024)
Black Box Causal Inference: Effect Estimation via Meta Prediction
by: Bynum, Lucius E. J., et al.
Published: (2025)
by: Bynum, Lucius E. J., et al.
Published: (2025)
DCRMTA: Unbiased Causal Representation for Multi-touch Attribution
by: Tang, Jiaming
Published: (2024)
by: Tang, Jiaming
Published: (2024)
Defining Expertise: Applications to Treatment Effect Estimation
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)
by: Tran, Christopher, et al.
Published: (2023)
Is Elo Rating Reliable? A Study Under Model Misspecification
by: Tang, Shange, et al.
Published: (2025)
by: Tang, Shange, et al.
Published: (2025)
A U-Statistic-based random forest approach for genetic interaction study
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
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)
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
Deep Optimal Experimental Design for Parameter Estimation Problems
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2024)
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2024)
Localized Conformal Multi-Quantile Regression
by: Lu, Yuan
Published: (2024)
by: Lu, Yuan
Published: (2024)
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
by: Cai, Hengrui, et al.
Published: (2024)
by: Cai, Hengrui, et al.
Published: (2024)
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
by: Mahajan, Divyat, et al.
Published: (2022)
by: Mahajan, Divyat, et al.
Published: (2022)
Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling
by: Tang, Yuxuan, et al.
Published: (2025)
by: Tang, Yuxuan, et al.
Published: (2025)
Membership Testing in Markov Equivalence Classes via Independence Query Oracles
by: Zhang, Jiaqi, et al.
Published: (2024)
by: Zhang, Jiaqi, et al.
Published: (2024)
Best of mini-N in-loop Sampling: A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Sampling
by: Rho, Hyung Gyu, et al.
Published: (2025)
by: Rho, Hyung Gyu, et al.
Published: (2025)
Similar Items
-
Generalized Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026) -
Faithful Group Shapley Value
by: Lee, Kiljae, et al.
Published: (2025) -
Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026) -
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
by: Lemos, Pablo, et al.
Published: (2024) -
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
by: Komanduri, Aneesh, et al.
Published: (2024)