Equally Good, Yet Different: Benchmarking Rashomon sets in AutoML packages
cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/sienkozuzanna/ARSA_experiments
Terminology
Sources
- The Role of Hyperparameters in Predictive Multiplicity
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
- CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and their Hyperparameters
- Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
- Amazing Things Come From Having Many Good Models
- On the Existence of Simpler Machine Learning Models
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks