Cover Image

Leo Breiman, the Rashomon Effect, and the Occam Dilemma

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Rudin, Cynthia
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 01, 62, 68 K.2; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluation of the impact of expert knowledge: How decision support scores impact the effectiveness of automatic knowledge-driven feature engineering (aKDFE)
by: Björneld, Olof, et al.
Published: (2025)

Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
by: Ilbert, Romain, et al.
Published: (2023)

Multi-objective Hyperparameter Optimization in the Age of Deep Learning
by: Basu, Soham, et al.
Published: (2025)

An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees -- SRules
by: Verdasco, Mario Parrón, et al.
Published: (2024)

E$^2$M: Double Bounded $α$-Divergence Optimization for Tensor-based Discrete Density Estimation
by: Ghalamkari, Kazu, et al.
Published: (2024)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
by: Bian, Yijun, et al.
Published: (2024)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
by: Bian, Yijun, et al.
Published: (2024)

Alignment Verifiability in Large Language Models: Normative Indistinguishability under Behavioral Evaluation
by: Santos-Grueiro, Igor
Published: (2026)

Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
by: Ma, Jianmina, et al.
Published: (2024)

Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review
by: Altamirano, Sara, et al.
Published: (2025)

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
by: Xu, Zhi-Qin John, et al.
Published: (2019)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
by: Levin, Ilya
Published: (2026)

The Price of Progress: Price Performance and the Future of AI
by: Gundlach, Hans, et al.
Published: (2025)

LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
by: Verdenius, Stijn, et al.
Published: (2024)

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods
by: Jha, Abhash Kumar, et al.
Published: (2025)

Learning Through Noise: Why Subliminal Learning Works and When It Fails
by: Brockers, Vincent C., et al.
Published: (2026)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)

A Comparative Study of Feature Selection in Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2025)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
by: Turan, Berkant, et al.
Published: (2025)

A Unifying Framework for Unsupervised Concept Extraction
by: Squires, Chandler, et al.
Published: (2026)

Bounding Causal Effects and Counterfactuals
by: Maringgele, Tobias
Published: (2025)

Score Change of Variables
by: Robbins, Stephen
Published: (2024)

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
by: Fokoué, Ernest
Published: (2025)

Exponential-Family Membership Inference: From LiRA and RMIA to BaVarIA
by: Brännvall, Rickard
Published: (2026)

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
by: Salazar, Teresa, et al.
Published: (2024)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

TSDS: Data Selection for Task-Specific Model Finetuning
by: Liu, Zifan, et al.
Published: (2024)

Can Agentic AI Match the Performance of Human Data Scientists?
by: Luo, An, et al.
Published: (2025)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
by: Luo, An, et al.
Published: (2026)

Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)

Full Domain Analysis in Fluid Dynamics
by: Hagg, Alexander, et al.
Published: (2025)

Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities
by: Filus, Katarzyna, et al.
Published: (2025)

Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
by: Adutwum, Emmanuel
Published: (2026)

Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
by: Luzio, Emanuele, et al.
Published: (2025)

Graph Transformers: A Survey
by: Shehzad, Ahsan, et al.
Published: (2024)

RCProb: Probabilistic Rule Extraction for Efficient Simplification of Tree Ensembles
by: Obregon, Josue
Published: (2026)

Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
by: Soize, Christian
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
by: Zhang, Minxin, et al.
Published: (2026)