Cover Image

ERICA: Quantifying Replicability of Cluster Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sorooshyari, Siamak K., Rivas, Manuel A., Tibshirani, Robert
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

Supervised learning pays attention
by: Craig, Erin, et al.
Published: (2025)

Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank
by: Menestrel, Thomas Le, et al.
Published: (2024)

Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball
by: Powers, Scott, et al.
Published: (2017)

Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction
by: Schuessler, Maximilian, et al.
Published: (2025)

Semiparametric conformal prediction
by: Park, Ji Won, et al.
Published: (2024)

Replicable Clustering
by: Esfandiari, Hossein, et al.
Published: (2023)

Cross-validation: what does it estimate and how well does it do it?
by: Bates, Stephen, et al.
Published: (2021)

Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)

Pre-validation Revisited
by: Shang, Jing, et al.
Published: (2025)

Sample-Efficient Omniprediction for Proper Losses
by: Gibbs, Isaac, et al.
Published: (2025)

Lassoed Forests: Random Forests with Adaptive Lasso Post-selection
by: Shang, Jing, et al.
Published: (2025)

Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
by: Patil, Pratik, et al.
Published: (2024)

Calibrated Multi-Level Quantile Forecasting
by: Ding, Tiffany, et al.
Published: (2025)

Optimal Ridge Regularization for Out-of-Distribution Prediction
by: Patil, Pratik, et al.
Published: (2024)

Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning
by: Patil, Pratik, et al.
Published: (2024)

Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis
by: Paik, Seunghoon, et al.
Published: (2025)

Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
by: Paik, Seunghoon, et al.
Published: (2023)

Symmetry Breaking and Equivariant Neural Networks
by: Kaba, Sékou-Oumar, et al.
Published: (2023)

Feature-Guided Analysis of Neural Networks: A Replication Study
by: Formica, Federico, et al.
Published: (2025)

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
by: Ghodsi, Siamak, et al.
Published: (2024)

A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
by: Shi, Jie, et al.
Published: (2026)

EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding
by: Andrikopoulos, Panagiotis, et al.
Published: (2026)

SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting
by: Stavrou, Nikolas, et al.
Published: (2026)

Learning to Reach Goals via Diffusion
by: Jain, Vineet, et al.
Published: (2023)

Multi-Armed Sampling Problem and the End of Exploration
by: Pedramfar, Mohammad, et al.
Published: (2025)

Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets
by: Layeghy, Siamak, et al.
Published: (2021)

Replicable Constrained Bandits
by: Bollini, Matteo, et al.
Published: (2026)

Replicable Online Learning
by: Ahmadi, Saba, et al.
Published: (2024)

Approximate Replicability in Learning
by: Hopkins, Max, et al.
Published: (2025)

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting
by: Li, Haotian, et al.
Published: (2024)

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
by: Ghodsi, Siamak, et al.
Published: (2025)

On the Computational Landscape of Replicable Learning
by: Kalavasis, Alkis, et al.
Published: (2024)

The Cost of Replicability in Active Learning
by: Hira, Rupkatha, et al.
Published: (2024)

Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
by: Toosi, Maedeh H., et al.
Published: (2026)

Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
by: van Nieuwkoop, Gijs, et al.
Published: (2026)

MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting
by: van Wonderen, Samuel, et al.
Published: (2026)

On the Identifiability of Causal Abstractions
by: Li, Xiusi, et al.
Published: (2025)

Sampling from Energy-based Policies using Diffusion
by: Jain, Vineet, et al.
Published: (2024)

Sensitivity of Stability: Theoretical & Empirical Analysis of Replicability for Adaptive Data Selection in Transfer Learning
by: Singh, Prabhav, et al.
Published: (2025)

SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
by: Turzi, Marco, et al.
Published: (2025)