Cover Image

Mind the Graph When Balancing Data for Fairness or Robustness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schrouff, Jessica, Bellot, Alexis, Rannen-Triki, Amal, Malek, Alan, Albuquerque, Isabela, Gretton, Arthur, D'Amour, Alexander, Chiappa, Silvia
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
by: Aglietti, Virginia, et al.
Published: (2024)

Transformers for Supervised Online Continual Learning
by: Bornschein, Jorg, et al.
Published: (2024)

Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation
by: Albuquerque, Isabela, et al.
Published: (2025)

The Illusion of Intervention: Your LLM-Simulated Experiment is an Observational Study
by: Lin, Victoria, et al.
Published: (2026)

Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
by: Zheng, Jiajing, et al.
Published: (2021)

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)

Kalman Filter for Online Classification of Non-Stationary Data
by: Titsias, Michalis K., et al.
Published: (2023)

Proxy Methods for Domain Adaptation
by: Tsai, Katherine, et al.
Published: (2024)

Fine-Tuned In-Context Learners for Efficient Adaptation
by: Bornschein, Jorg, et al.
Published: (2025)

Evaluating Model Bias Requires Characterizing its Mistakes
by: Albuquerque, Isabela, et al.
Published: (2024)

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
by: Sgouritsa, Eleni, et al.
Published: (2024)

Choosing a Proxy Metric from Past Experiments
by: Tripuraneni, Nilesh, et al.
Published: (2023)

Towards Bounding Causal Effects under Markov Equivalence
by: Bellot, Alexis
Published: (2023)

When Can Proxies Improve the Sample Complexity of Preference Learning?
by: Zhu, Yuchen, et al.
Published: (2024)

Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
by: Lum, Kristian, et al.
Published: (2024)

Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap
by: Clivio, Oscar, et al.
Published: (2026)

Making physical activity fun and accessible to adults with intellectual disabilities: A pilot study of a gamification intervention
by: Stéphanie Turgeon, et al.
Published: (2024)

Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models
by: Rannen-Triki, Amal, et al.
Published: (2024)

Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
by: Zenati, Houssam, et al.
Published: (2025)

Kernel Treatment Effects with Adaptively Collected Data
by: Zenati, Houssam, et al.
Published: (2025)

Kernel Single Proxy Control for Deterministic Confounding
by: Xu, Liyuan, et al.
Published: (2023)

Perturbative methods for non-parametric instrumental variable
by: Bu, Wei, et al.
Published: (2026)

Semiparametric Efficient Test for Interpretable Distributional Treatment Effects
by: Zenati, Houssam, et al.
Published: (2026)

Theoretical guarantees on the best-of-n alignment policy
by: Beirami, Ahmad, et al.
Published: (2024)

Predictive Churn with the Set of Good Models
by: Watson-Daniels, Jamelle, et al.
Published: (2024)

Transforming and Combining Rewards for Aligning Large Language Models
by: Wang, Zihao, et al.
Published: (2024)

Expected Reward Prediction, with Applications to Model Routing
by: Hasanaliyev, Kenan, et al.
Published: (2026)

Partial Transportability for Domain Generalization
by: Jalaldoust, Kasra, et al.
Published: (2025)

The Limits of Predicting Agents from Behaviour
by: Bellot, Alexis, et al.
Published: (2025)

Density Ratio-Free Doubly Robust Proxy Causal Learning
by: Bozkurt, Bariscan, et al.
Published: (2025)

Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
by: Singh, Rahul, et al.
Published: (2021)

Regularized $f$-Divergence Kernel Tests
by: Ribero, Mónica, et al.
Published: (2026)

Interventional Processes for Causal Uncertainty Quantification
by: Dance, Hugh, et al.
Published: (2024)

Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
by: Xu, Liyuan, et al.
Published: (2021)

El problema de la autopolinización en Prosopis tamarugo Phil (Mimosaceae)
by: E. Chiappa
Published: (1996)

Equidad y capital humano avanzado: Análisis sobre las políticas de formación de doctorado en Chile
by: Roxana Chiappa
Published: (2015)

DEGRADACION DE CLOROFENOLES EN SOLUCIONES SINTETICAS UTILIZANDO HONGOS H3
by: Ilcia Bellot
Published: (2011)

Learning-Order Autoregressive Models with Application to Molecular Graph Generation
by: Wang, Zhe, et al.
Published: (2025)

Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification
by: Kurian, Nikhil Cherian, et al.
Published: (2026)

Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
by: Bozkurt, Bariscan, et al.
Published: (2026)