Cover Image

The Rashomon Effect for Visualizing High-Dimensional Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Yiyang, Huang, Haiyang, Parikh, Gaurav Rajesh, Rudin, Cynthia
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leo Breiman, the Rashomon Effect, and the Occam Dilemma
by: Rudin, Cynthia
Published: (2025)

Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
by: Donnelly, Jon, et al.
Published: (2025)

Navigating the Effect of Parametrization for Dimensionality Reduction
by: Huang, Haiyang, et al.
Published: (2024)

Dimension Reduction with Locally Adjusted Graphs
by: Wang, Yingfan, et al.
Published: (2024)

Resolving Predictive Multiplicity for the Rashomon Set
by: Haghighat, Parian, et al.
Published: (2026)

From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
by: Heile, Zakk, et al.
Published: (2026)

Data Fusion for Partial Identification of Causal Effects
by: Lanners, Quinn, et al.
Published: (2025)

Improving Decision Sparsity
by: Sun, Yiyang, et al.
Published: (2024)

The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
by: Donnelly, Jon, et al.
Published: (2023)

REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
by: Nguyen, Simon D., et al.
Published: (2026)

Why are there many equally good models? An Anatomy of the Rashomon Effect
by: Parikh, Harsh
Published: (2026)

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
by: Katta, Srikar, et al.
Published: (2023)

Sparse and Faithful Explanations Without Sparse Models
by: Sun, Yiyang, et al.
Published: (2024)

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
by: Donnelly, Jon, et al.
Published: (2025)

A Double Machine Learning Approach to Combining Experimental and Observational Data
by: Parikh, Harsh, et al.
Published: (2023)

"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
by: Babbar, Varun, et al.
Published: (2024)

Models That Are Interpretable But Not Transparent
by: Zhong, Chudi, et al.
Published: (2025)

FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
by: Liu, Jiachang, et al.
Published: (2024)

VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
by: Jin, Yuanzhe
Published: (2025)

It's LIT! Reliability-Optimized LLMs with Inspectable Tools
by: Zhang, Ruixin, et al.
Published: (2025)

An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
by: Cavus, Mustafa, et al.
Published: (2024)

Translating the Rashomon Effect to Sequential Decision-Making Tasks
by: Gross, Dennis, et al.
Published: (2025)

OKRidge: Scalable Optimal k-Sparse Ridge Regression
by: Liu, Jiachang, et al.
Published: (2023)

Optimal Sparse Survival Trees
by: Zhang, Rui, et al.
Published: (2024)

Safe and Interpretable Estimation of Optimal Treatment Regimes
by: Parikh, Harsh, et al.
Published: (2023)

Practical Attribution Guidance for Rashomon Sets
by: Li, Sichao, et al.
Published: (2024)

How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
by: Maitra, Ishaan, et al.
Published: (2025)

Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
by: Kobylińska, Katarzyna, et al.
Published: (2023)

Near Optimal Decision Trees in a SPLIT Second
by: Babbar, Varun, et al.
Published: (2025)

Interpretable Generalized Additive Models for Datasets with Missing Values
by: McTavish, Hayden, et al.
Published: (2024)

Unique Rashomon Sets for Robust Active Learning
by: Nguyen, Simon, et al.
Published: (2025)

Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
by: Lobo, Elita, et al.
Published: (2024)

Trustworthy Feature Importance Avoids Unrestricted Permutations
by: Borgonovo, Emanuele, et al.
Published: (2026)

Efficient Exploration of the Rashomon Set of Rule Set Models
by: Ciaperoni, Martino, et al.
Published: (2024)

A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
by: Li, Jiannan, et al.
Published: (2025)

Rashomon in the Streets: Explanation Ambiguity in Scene Understanding
by: Spieker, Helge, et al.
Published: (2025)

DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
by: Eerlings, Gilles, et al.
Published: (2026)

Exploring the cloud of feature interaction scores in a Rashomon set
by: Li, Sichao, et al.
Published: (2023)

The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
by: Hsu, Ethan, et al.
Published: (2025)

Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
by: Laberge, Gabriel, et al.
Published: (2021)