Cover Image

CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Ying, Jiang, Yangfan, Tan, Kian-Lee
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fair Data Pre-Processing with Imperfect Attribute Space
by: Zheng, Ying, et al.
Published: (2026)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
by: Barboza, Eduardo V. L., et al.
Published: (2026)

Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
by: Sivak, Elizaveta, et al.
Published: (2024)

Stress-Testing Causal Claims via Cardinality Repairs
by: Gabbay, Yarden, et al.
Published: (2025)

Causal DAG Summarization (Full Version)
by: Zeng, Anna, et al.
Published: (2025)

Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach
by: Pathak, Prashant Kumar
Published: (2026)

Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers
by: Mahdian, Mehrab, et al.
Published: (2026)

Relational In-Context Learning via Synthetic Pre-training with Structural Prior
by: Wang, Yanbo, et al.
Published: (2026)

NeurDB: An AI-powered Autonomous Data System
by: Ooi, Beng Chin, et al.
Published: (2024)

CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)

CSQL: Mapping Documents into Causal Databases
by: Mahadevan, Sridhar
Published: (2026)

Structuring the Processing Frameworks for Data Stream Evaluation and Application
by: Komorniczak, Joanna, et al.
Published: (2024)

Explainable Disparity Compensation for Efficient Fair Ranking
by: Gale, Abraham, et al.
Published: (2023)

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
by: Papadias, Serafeim, et al.
Published: (2026)

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective
by: Leininger, Charlotte, et al.
Published: (2025)

Threshold-Independent Fair Matching through Score Calibration
by: Moslemi, Mohammad Hossein, et al.
Published: (2024)

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
by: Jiang, Wenxin, et al.
Published: (2024)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
by: Zheng, Zhiyuan, et al.
Published: (2025)

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022)

HAKES: Scalable Vector Database for Embedding Search Service
by: Hu, Guoyu, et al.
Published: (2025)

Accurate and Scalable Matrix Mechanisms via Divide and Conquer
by: He, Guanlin, et al.
Published: (2026)

Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026)

The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
by: Tang, Yafeng, et al.
Published: (2025)

Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities
by: Erfanian, Mahdi, et al.
Published: (2024)

Fair and Actionable Causal Prescription Ruleset
by: Li, Benton, et al.
Published: (2025)

Scalable Disk-Based Approximate Nearest Neighbor Search with Page-Aligned Graph
by: Kang, Dingyi, et al.
Published: (2025)

GrASP: A Generalizable Address-based Semantic Prefetcher for Scalable Transactional and Analytical Workloads
by: Zirak, Farzaneh, et al.
Published: (2025)

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation
by: Chang, Jing, et al.
Published: (2025)

Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
by: Sabir, Humera, et al.
Published: (2025)

Hydro: Adaptive Query Processing of ML Queries
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)

Enhancing Financial Market Predictions: Causality-Driven Feature Selection
by: Liang, Wenhao, et al.
Published: (2024)

Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning
by: Dou, Hui, et al.
Published: (2025)

SimBank: from Simulation to Solution in Prescriptive Process Monitoring
by: De Moor, Jakob, et al.
Published: (2025)

SemBench: A Benchmark for Semantic Query Processing Engines
by: Lao, Jiale, et al.
Published: (2025)

RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
by: Chen, Minxiao, et al.
Published: (2025)

Data Driven Decision Making with Time Series and Spatio-temporal Data
by: Yang, Bin, et al.
Published: (2025)