Guardado en:
| Autores principales: | Wang, Yingfan, Sun, Yiyang, Huang, Haiyang, Rudin, Cynthia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2412.15426 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Navigating the Effect of Parametrization for Dimensionality Reduction
por: Huang, Haiyang, et al.
Publicado: (2024)
por: Huang, Haiyang, et al.
Publicado: (2024)
The Rashomon Effect for Visualizing High-Dimensional Data
por: Sun, Yiyang, et al.
Publicado: (2026)
por: Sun, Yiyang, et al.
Publicado: (2026)
Improving Decision Sparsity
por: Sun, Yiyang, et al.
Publicado: (2024)
por: Sun, Yiyang, et al.
Publicado: (2024)
Sparse and Faithful Explanations Without Sparse Models
por: Sun, Yiyang, et al.
Publicado: (2024)
por: Sun, Yiyang, et al.
Publicado: (2024)
Leo Breiman, the Rashomon Effect, and the Occam Dilemma
por: Rudin, Cynthia
Publicado: (2025)
por: Rudin, Cynthia
Publicado: (2025)
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
por: Liu, Jiachang, et al.
Publicado: (2024)
por: Liu, Jiachang, et al.
Publicado: (2024)
Resolving Predictive Multiplicity for the Rashomon Set
por: Haghighat, Parian, et al.
Publicado: (2026)
por: Haghighat, Parian, et al.
Publicado: (2026)
Models That Are Interpretable But Not Transparent
por: Zhong, Chudi, et al.
Publicado: (2025)
por: Zhong, Chudi, et al.
Publicado: (2025)
It's LIT! Reliability-Optimized LLMs with Inspectable Tools
por: Zhang, Ruixin, et al.
Publicado: (2025)
por: Zhang, Ruixin, et al.
Publicado: (2025)
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
por: Babbar, Varun, et al.
Publicado: (2024)
por: Babbar, Varun, et al.
Publicado: (2024)
Optimal Sparse Survival Trees
por: Zhang, Rui, et al.
Publicado: (2024)
por: Zhang, Rui, et al.
Publicado: (2024)
OKRidge: Scalable Optimal k-Sparse Ridge Regression
por: Liu, Jiachang, et al.
Publicado: (2023)
por: Liu, Jiachang, et al.
Publicado: (2023)
Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
por: Donnelly, Jon, et al.
Publicado: (2025)
por: Donnelly, Jon, et al.
Publicado: (2025)
Interpretable Generalized Additive Models for Datasets with Missing Values
por: McTavish, Hayden, et al.
Publicado: (2024)
por: McTavish, Hayden, et al.
Publicado: (2024)
Near Optimal Decision Trees in a SPLIT Second
por: Babbar, Varun, et al.
Publicado: (2025)
por: Babbar, Varun, et al.
Publicado: (2025)
Data Fusion for Partial Identification of Causal Effects
por: Lanners, Quinn, et al.
Publicado: (2025)
por: Lanners, Quinn, et al.
Publicado: (2025)
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
por: Donnelly, Jon, et al.
Publicado: (2023)
por: Donnelly, Jon, et al.
Publicado: (2023)
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
por: Katta, Srikar, et al.
Publicado: (2023)
por: Katta, Srikar, et al.
Publicado: (2023)
Trustworthy Feature Importance Avoids Unrestricted Permutations
por: Borgonovo, Emanuele, et al.
Publicado: (2026)
por: Borgonovo, Emanuele, et al.
Publicado: (2026)
Revisiting Broken Windows Theory
por: Cui, Ziyao, et al.
Publicado: (2025)
por: Cui, Ziyao, et al.
Publicado: (2025)
Structural Dimension Reduction in Bayesian Networks
por: Heng, Pei, et al.
Publicado: (2026)
por: Heng, Pei, et al.
Publicado: (2026)
Leveraging Predictive Equivalence in Decision Trees
por: McTavish, Hayden, et al.
Publicado: (2025)
por: McTavish, Hayden, et al.
Publicado: (2025)
Learning Functional Graphs with Nonlinear Sufficient Dimension Reduction
por: Kim, Kyongwon, et al.
Publicado: (2026)
por: Kim, Kyongwon, et al.
Publicado: (2026)
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
por: Ni-Hahn, Stephen, et al.
Publicado: (2025)
por: Ni-Hahn, Stephen, et al.
Publicado: (2025)
Adjusted Count Quantification Learning on Graphs
por: Damke, Clemens, et al.
Publicado: (2025)
por: Damke, Clemens, et al.
Publicado: (2025)
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
por: Maitra, Ishaan, et al.
Publicado: (2025)
por: Maitra, Ishaan, et al.
Publicado: (2025)
From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
por: Heile, Zakk, et al.
Publicado: (2026)
por: Heile, Zakk, et al.
Publicado: (2026)
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
por: Lobo, Elita, et al.
Publicado: (2024)
por: Lobo, Elita, et al.
Publicado: (2024)
NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
por: Tushar, Fakrul Islam, et al.
Publicado: (2025)
por: Tushar, Fakrul Islam, et al.
Publicado: (2025)
Manifold Dimension Estimation via Local Graph Structure
por: Bi, Zelong, et al.
Publicado: (2025)
por: Bi, Zelong, et al.
Publicado: (2025)
On Conditional Stochastic Interpolation for Generative Nonlinear Sufficient Dimension Reduction
por: Xu, Shuntuo, et al.
Publicado: (2025)
por: Xu, Shuntuo, et al.
Publicado: (2025)
Dimension Reduction for Symbolic Regression
por: Kahlmeyer, Paul, et al.
Publicado: (2025)
por: Kahlmeyer, Paul, et al.
Publicado: (2025)
AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation
por: Ni-Hahn, Stephen, et al.
Publicado: (2025)
por: Ni-Hahn, Stephen, et al.
Publicado: (2025)
Sparse learned kernels for interpretable and efficient medical time series processing
por: Chen, Sully F., et al.
Publicado: (2023)
por: Chen, Sully F., et al.
Publicado: (2023)
REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
por: Nguyen, Simon D., et al.
Publicado: (2026)
por: Nguyen, Simon D., et al.
Publicado: (2026)
SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals
por: Ding, Cheng, et al.
Publicado: (2024)
por: Ding, Cheng, et al.
Publicado: (2024)
Personalized Programming Guidance based on Deep Programming Learning Style Capturing
por: Liu, Yingfan, et al.
Publicado: (2024)
por: Liu, Yingfan, et al.
Publicado: (2024)
Detecting is Easy, Adapting is Hard: Local Expert Growth for Visual Model-Based Reinforcement Learning under Distribution Shift
por: Zhao, Haiyang
Publicado: (2026)
por: Zhao, Haiyang
Publicado: (2026)
A Double Machine Learning Approach to Combining Experimental and Observational Data
por: Parikh, Harsh, et al.
Publicado: (2023)
por: Parikh, Harsh, et al.
Publicado: (2023)
Online Continual Learning via Logit Adjusted Softmax
por: Huang, Zhehao, et al.
Publicado: (2023)
por: Huang, Zhehao, et al.
Publicado: (2023)
Ejemplares similares
-
Navigating the Effect of Parametrization for Dimensionality Reduction
por: Huang, Haiyang, et al.
Publicado: (2024) -
The Rashomon Effect for Visualizing High-Dimensional Data
por: Sun, Yiyang, et al.
Publicado: (2026) -
Improving Decision Sparsity
por: Sun, Yiyang, et al.
Publicado: (2024) -
Sparse and Faithful Explanations Without Sparse Models
por: Sun, Yiyang, et al.
Publicado: (2024) -
Leo Breiman, the Rashomon Effect, and the Occam Dilemma
por: Rudin, Cynthia
Publicado: (2025)