Copertina

Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Martinon, Grégoire, Merad, Ibrahim, Raki, Mohammed
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Machine Learning Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GenAI-Powered Inference
di: Imai, Kosuke, et al.
Pubblicazione: (2025)

AI-Powered Bayesian Inference
di: O'Hagan, Sean, et al.
Pubblicazione: (2025)

Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
di: Park, Sangwoo, et al.
Pubblicazione: (2025)

Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling
di: Kluger, Dan M., et al.
Pubblicazione: (2025)

Calibeating Prediction-Powered Inference
di: van der Laan, Lars, et al.
Pubblicazione: (2026)

Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
di: Brooks, Marc, et al.
Pubblicazione: (2025)

When Should an AI Workflow Release? Always-Valid Inference for Black-Box Generate-Verify Systems
di: Cho, Young Hyun, et al.
Pubblicazione: (2026)

Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization
di: Bai, Tian, et al.
Pubblicazione: (2024)

An AI-powered Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
di: Liu, Qiao, et al.
Pubblicazione: (2026)

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
di: Wu, Yulun, et al.
Pubblicazione: (2022)

Black Box Causal Inference: Effect Estimation via Meta Prediction
di: Bynum, Lucius E. J., et al.
Pubblicazione: (2025)

Generative Augmented Inference
di: Lu, Cheng, et al.
Pubblicazione: (2026)

Is Elo Rating Reliable? A Study Under Model Misspecification
di: Tang, Shange, et al.
Pubblicazione: (2025)

From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
di: Shmueli, Galit, et al.
Pubblicazione: (2025)

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
di: Gamella, Juan L., et al.
Pubblicazione: (2024)

Marginal Causal Flows for Validation and Inference
di: Manela, Daniel de Vassimon, et al.
Pubblicazione: (2024)

Federated Causal Inference from Observational Data
di: Vo, Thanh Vinh, et al.
Pubblicazione: (2023)

New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
di: Michelucci, Umberto, et al.
Pubblicazione: (2025)

CausalGuard: Conformal Inference under Graph Uncertainty
di: Singh, Vikash, et al.
Pubblicazione: (2026)

Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
di: Xu, Yichen
Pubblicazione: (2026)

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

Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
di: Filter, Björn, et al.
Pubblicazione: (2024)

Best of mini-N in-loop Sampling: A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Sampling
di: Rho, Hyung Gyu, et al.
Pubblicazione: (2025)

Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
di: Sun, Rongyi, et al.
Pubblicazione: (2026)

Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
di: Toth, Christian, et al.
Pubblicazione: (2024)

A General Causal Inference Framework for Cross-Sectional Observational Data
di: Zhao, Yonghe, et al.
Pubblicazione: (2024)

Towards Causal Foundation Model: on Duality between Causal Inference and Attention
di: Zhang, Jiaqi, et al.
Pubblicazione: (2023)

Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept
di: Trilla, Alexandre, et al.
Pubblicazione: (2024)

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
di: Cha, Taehun, et al.
Pubblicazione: (2024)

Statistical Methods in Generative AI
di: Dobriban, Edgar
Pubblicazione: (2025)

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
di: Yang, Tianyu, et al.
Pubblicazione: (2025)

De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
di: Zhao, Yonghe, et al.
Pubblicazione: (2023)

Bayesian Hierarchical Invariant Prediction
di: Madaleno, Francisco, et al.
Pubblicazione: (2025)

Length Optimization in Conformal Prediction
di: Kiyani, Shayan, et al.
Pubblicazione: (2024)

Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach
di: Liu, Xiaohui, et al.
Pubblicazione: (2022)

Prediction-Intervention Games and Invariant Sets
di: Kühne, Linus, et al.
Pubblicazione: (2026)

Conformal Prediction for Causal Effects of Continuous Treatments
di: Schröder, Maresa, et al.
Pubblicazione: (2024)

Modeling and Discovering Direct Causes for Predictive Models
di: Chen, Yizuo, et al.
Pubblicazione: (2024)

On Predictive planning and counterfactual learning in active inference
di: Paul, Aswin, et al.
Pubblicazione: (2024)

PCS Workflow for Veridical Data Science in the Age of AI
di: Rewolinski, Zachary T., et al.
Pubblicazione: (2025)