Cover Image

Biconvex Biclustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rosen, Sam, Chi, Eric C., Xu, Jason
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Why and How of Convex Clustering
by: Chi, Eric C., et al.
Published: (2025)

Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
by: Shi, Haoming, et al.
Published: (2025)

Propensity Score Alignment of Unpaired Multimodal Data
by: Xi, Johnny, et al.
Published: (2024)

Residual Distribution Predictive Systems
by: Allen, Sam, et al.
Published: (2025)

Analyze Additive and Interaction Effects via Collaborative Trees
by: Chi, Chien-Ming
Published: (2024)

Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks
by: Chi, Chien-Ming
Published: (2025)

Review on Determining the Number of Communities in Network Data
by: Du, Zhengyuan, et al.
Published: (2025)

The Stochastic Proximal Distance Algorithm
by: Jiang, Haoyu, et al.
Published: (2022)

Affinity Graph Connectivity in Convex Clustering
by: Rosen, Sam, et al.
Published: (2026)

Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
by: Wei, Zeyu, et al.
Published: (2023)

Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
by: Zhang, Yikun, et al.
Published: (2021)

Principal Component Analysis When n < p: Challenges and Solutions
by: Weeraratne, Nuwan, et al.
Published: (2025)

Empirical Bayes Linked Matrix Decomposition
by: Lock, Eric F.
Published: (2024)

Causal Representation Learning with Optimal Compression under Complex Treatments
by: Liang, Wanting, et al.
Published: (2026)

Steady Continuous Monitoring is (Just Barely) Impossible for Tests of Unbounded Length
by: Bax, Eric, et al.
Published: (2024)

A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion Models
by: Chen, Yen-Chi
Published: (2025)

Supervised Integrative Biclustering with applications to Alzheimer's Disease
by: Yang, Kaifeng, et al.
Published: (2025)

Targeted Sequential Indirect Experiment Design
by: Ailer, Elisabeth, et al.
Published: (2024)

Sharp Trade-Offs in High-Dimensional Inference via 2-Level SLOPE
by: Bu, Zhiqi, et al.
Published: (2025)

Incorporating External Controls for Estimating the Average Treatment Effect on the Treated with High-Dimensional Data: Retaining Double Robustness and Ensuring Double Safety
by: Dai, Chi-Shian, et al.
Published: (2025)

Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
by: Agrawal, Raj, et al.
Published: (2024)

Early Stopping Based on Repeated Significance
by: Bax, Eric, et al.
Published: (2024)

Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
by: Guo, Eric
Published: (2025)

Do Finetti: On Causal Effects for Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2024)

FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence
by: Fuller, Franklin, et al.
Published: (2026)

Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
by: Liu, Siyan, et al.
Published: (2024)

BiSSLB: Binary Spike-and-Slab Lasso Biclustering
by: Fan, Sijian, et al.
Published: (2026)

Conditioning Gaussian Processes on Almost Anything
by: Moss, Henry, et al.
Published: (2026)

CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
by: Cho, Brian M, et al.
Published: (2024)

Fuzzy Prediction Sets: Conformal Prediction with E-values
by: Koning, Nick W., et al.
Published: (2025)

A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link
by: Weine, Eric, et al.
Published: (2026)

Auditing Fairness under Unobserved Confounding
by: Byun, Yewon, et al.
Published: (2024)

Generative vs. Discriminative modeling under the lens of uncertainty quantification
by: Argouarc'h, Elouan, et al.
Published: (2024)

Optimizing High-Dimensional Oblique Splits
by: Chi, Chien-Ming
Published: (2025)

Challenges in Variable Importance Ranking Under Correlation
by: Liang, Annie, et al.
Published: (2024)

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
by: Moufad, Badr, et al.
Published: (2025)

Flexible Counterfactual Explanations with Generative Models
by: Hellemans, Stig, et al.
Published: (2025)

Sparse Convex Biclustering
by: Jiang, Jiakun, et al.
Published: (2026)

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
by: Li, He, et al.
Published: (2025)

Covariate-assisted Grade of Membership Models via Shared Latent Geometry
by: Xu, Zhiyu, et al.
Published: (2026)