:: Library Catalog

Salvato in:

Dettagli Bibliografici
Autori principali:	Hays, Chris, Laufer, Ben, Barocas, Solon, Raghavan, Manish
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society Machine Learning Methodology
Accesso online:	https://arxiv.org/abs/2512.23943
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

What Constitutes a Less Discriminatory Algorithm?
di: Laufer, Benjamin, et al.
Pubblicazione: (2024)

The Legal Duty to Search for Less Discriminatory Algorithms
di: Black, Emily, et al.
Pubblicazione: (2024)

Falsifying Predictive Algorithm
di: Coston, Amanda
Pubblicazione: (2026)

Statistical learning for constrained functional parameters in infinite-dimensional models
di: Nabi, Razieh, et al.
Pubblicazione: (2024)

Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
di: Cen, Sarah H., et al.
Pubblicazione: (2025)

Understanding overfitting in random forest for probability estimation: a visualization and simulation study
di: Barreñada, Lasai, et al.
Pubblicazione: (2024)

A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
di: Siddiqui, Md. Saiful Bari, et al.
Pubblicazione: (2025)

Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
di: Schechtman, Kara, et al.
Pubblicazione: (2025)

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
di: Rambachan, Ashesh, et al.
Pubblicazione: (2022)

Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
di: Bhadane, Sourbh, et al.
Pubblicazione: (2025)

Double Machine Learning for Causal Inference under Shared-State Interference
di: Hays, Chris, et al.
Pubblicazione: (2025)

Validating LLM-as-a-Judge Systems under Rating Indeterminacy
di: Guerdan, Luke, et al.
Pubblicazione: (2025)

The Subjectivity of Monoculture
di: Jo, Nathanael, et al.
Pubblicazione: (2026)

Effects of Generative AI Errors on User Reliance Across Task Difficulty
di: Anthis, Jacy Reese, et al.
Pubblicazione: (2026)

Statistical Inference for Online Algorithms
di: Carter, Selina, et al.
Pubblicazione: (2025)

Bias and Identifiability in the Bounded Confidence Model
di: Borile, Claudio, et al.
Pubblicazione: (2025)

Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models
di: Kolic, Blas, et al.
Pubblicazione: (2025)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
di: Wang, Jitao, et al.
Pubblicazione: (2025)

A Computational Approach to Improving Fairness in K-means Clustering
di: Zhou, Guancheng, et al.
Pubblicazione: (2025)

A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs
di: Kaazempur-Mofrad, Ali, et al.
Pubblicazione: (2024)

The Missing Link: Allocation Performance in Causal Machine Learning
di: Fischer-Abaigar, Unai, et al.
Pubblicazione: (2024)

From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
di: Shan, Shan
Pubblicazione: (2024)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis
di: Kohankhaki, Farnaz, et al.
Pubblicazione: (2024)

Predictive Performance Comparison of Decision Policies Under Confounding
di: Guerdan, Luke, et al.
Pubblicazione: (2024)

Auditing Fairness under Unobserved Confounding
di: Byun, Yewon, et al.
Pubblicazione: (2024)

Auditing Fairness by Betting
di: Chugg, Ben, et al.
Pubblicazione: (2023)

Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
di: Samad, Hana, et al.
Pubblicazione: (2025)

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
di: Nakamoto, Carter H., et al.
Pubblicazione: (2025)

Batch-Adaptive Causal Annotations
di: Nwankwo, Ezinne, et al.
Pubblicazione: (2025)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population
di: Parikh, Harsh, et al.
Pubblicazione: (2024)

Performance of models for monitoring sustainable development goals from remote sensing: A three-level meta-regression
di: Klingwort, Jonas, et al.
Pubblicazione: (2026)

Robust Tensor Regression with Nonconvexity: Algorithmic and Statistical Theory
di: Song, Zihao, et al.
Pubblicazione: (2026)

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools
di: Park, Charlotte, et al.
Pubblicazione: (2026)

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
di: Alur, Rohan, et al.
Pubblicazione: (2024)

Less Greedy Equivalence Search
di: Ejaz, Adiba, et al.
Pubblicazione: (2025)

Partial Identification Approach to Counterfactual Fairness Assessment
di: Rho, Saeyoung, et al.
Pubblicazione: (2025)

Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
di: Noorani, Erfaun, et al.
Pubblicazione: (2025)

De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
di: Srivastava, Sanjari, et al.
Pubblicazione: (2024)

Decoding Digital Influence: The Role of Social Media Behavior in Scientific Stratification Through Logistic Attribution Method
di: Yue, Yang
Pubblicazione: (2024)

Ethnography and Machine Learning: Synergies and New Directions
di: Li, Zhuofan, et al.
Pubblicazione: (2024)