Copertina

Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khan, Falaah Arif, Herasymuk, Denys, Protsiv, Nazar, Stoyanovich, Julia
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computers and Society Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
di: Khan, Falaah Arif, et al.
Pubblicazione: (2023)

VirnyFlow: A Design Space for Responsible Model Development
di: Herasymuk, Denys, et al.
Pubblicazione: (2025)

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
di: Bynum, Lucius E. J., et al.
Pubblicazione: (2024)

Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
di: Maheri, Mohammad Mahdi, et al.
Pubblicazione: (2025)

EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
di: Moerland, Thomas M., et al.
Pubblicazione: (2023)

ShaRP: Explaining Rankings and Preferences with Shapley Values
di: Pliatsika, Venetia, et al.
Pubblicazione: (2024)

On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
di: Joel, Luke Oluwaseye, et al.
Pubblicazione: (2024)

Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
di: Deho, Oscar Blessed, et al.
Pubblicazione: (2024)

Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
di: Bell, Andrew, et al.
Pubblicazione: (2024)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
di: Zhao, Chen, et al.
Pubblicazione: (2024)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
di: Wang, Yinong Oliver, et al.
Pubblicazione: (2025)

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
di: Lee, Jaehyeok, et al.
Pubblicazione: (2026)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
di: Jurenka, Irina, et al.
Pubblicazione: (2024)

ExplainerPFN: Towards tabular foundation models for model-free zero-shot feature importance estimations
di: Fonseca, Joao, et al.
Pubblicazione: (2026)

Ocular-Induced Abnormal Head Posture: Diagnosis and Missing Data Imputation
di: Al-Dabet, Saja, et al.
Pubblicazione: (2025)

The Odyssey of the Fittest: Can Agents Survive and Still Be Good?
di: Waldner, Dylan, et al.
Pubblicazione: (2025)

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
di: Guldimann, Philipp, et al.
Pubblicazione: (2024)

We Are AI: Taking Control of Technology
di: Stoyanovich, Julia, et al.
Pubblicazione: (2025)

ONION: A Multi-Layered Framework for Participatory ER Design
di: Makovska, Viktoriia, et al.
Pubblicazione: (2025)

M$^3$-Impute: Mask-guided Representation Learning for Missing Value Imputation
di: Yu, Zhongyi, et al.
Pubblicazione: (2024)

Learning the Value Systems of Societies from Preferences
di: Holgado-Sánchez, Andrés, et al.
Pubblicazione: (2025)

Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
di: Fonseca, Joao, et al.
Pubblicazione: (2025)

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
di: Huang, Saffron, et al.
Pubblicazione: (2025)

Towards Socially and Environmentally Responsible AI
di: Li, Pengfei, et al.
Pubblicazione: (2024)

Should We Attend More or Less? Modulating Attention for Fairness
di: Zayed, Abdelrahman, et al.
Pubblicazione: (2023)

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
di: Schmitt, Marc
Pubblicazione: (2024)

Approaches to Responsible Governance of GenAI in Organizations
di: Gandhi, Dhari, et al.
Pubblicazione: (2025)

Evaluating Gemini in an arena for learning
di: LearnLM Team, et al.
Pubblicazione: (2025)

A longitudinal geospatial multimodal dataset of post-discharge frailty, physiology, mobility, and neighborhoods
di: Abedi, Ali, et al.
Pubblicazione: (2026)

Responsible Artificial Intelligence: A Structured Literature Review
di: Goellner, Sabrina, et al.
Pubblicazione: (2024)

Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems
di: Castleman, Jane, et al.
Pubblicazione: (2024)

Large Language Models Assume People are More Rational than We Really are
di: Liu, Ryan, et al.
Pubblicazione: (2024)

CREDAL: Close Reading of Data Models
di: Fletcher, George, et al.
Pubblicazione: (2025)

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
di: Cui, Jiajun, et al.
Pubblicazione: (2023)

Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
di: Liu, Mutong, et al.
Pubblicazione: (2026)

Equitable Evaluation via Elicitation
di: Du, Elbert, et al.
Pubblicazione: (2026)

Sabotage Evaluations for Frontier Models
di: Benton, Joe, et al.
Pubblicazione: (2024)

Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
di: Reuel, Anka, et al.
Pubblicazione: (2025)

Reward Models Inherit Value Biases from Pretraining
di: Christian, Brian, et al.
Pubblicazione: (2026)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
di: Baral, Sami, et al.
Pubblicazione: (2024)