Image de couverture de livre

On the Computational Complexity of Private High-dimensional Model Selection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Roy, Saptarshi, Wang, Zehua, Tewari, Ambuj
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Computation Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distribution-Free Robust Predict-Then-Optimize in Function Spaces
par: Patel, Yash, et autres
Publié: (2026)

Learning to Partially Defer for Sequences
par: Rayan, Sahana, et autres
Publié: (2025)

A Greedy PDE Router for Blending Neural Operators and Classical Methods
par: Rayan, Sahana, et autres
Publié: (2025)

Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
par: Rivera, Eduardo Ochoa, et autres
Publié: (2024)

Understanding Best Subset Selection: A Tale of Two C(omplex)ities
par: Roy, Saptarshi, et autres
Publié: (2023)

Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
par: Brooks, Marc, et autres
Publié: (2025)

Variational Inference with Coverage Guarantees in Simulation-Based Inference
par: Patel, Yash, et autres
Publié: (2023)

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
par: Zhao, Boxin, et autres
Publié: (2021)

Scalable Subset Selection in Linear Mixed Models
par: Thompson, Ryan, et autres
Publié: (2025)

Variable Selection for Comparing High-dimensional Time-Series Data
par: Mitsuzawa, Kensuke, et autres
Publié: (2024)

High-dimensional reliability-based design optimization using stochastic emulators
par: Moustapha, M., et autres
Publié: (2026)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
par: Ma, Chen, et autres
Publié: (2026)

Fiducial Matching: Differentially Private Inference for Categorical Data
par: Romanus, Ogonnaya Michael, et autres
Publié: (2025)

Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
par: Roy, Sarbojit, et autres
Publié: (2024)

A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
par: Tang, Borui, et autres
Publié: (2023)

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
par: Zhang, Zhenhao, et autres
Publié: (2024)

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
par: Li, Xuetong, et autres
Publié: (2024)

FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
par: Boschi, Tobia, et autres
Publié: (2023)

On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms
par: Trauger, Jacob, et autres
Publié: (2025)

Ridge partial correlation screening for ultrahigh-dimensional data
par: Wang, Run, et autres
Publié: (2025)

On the Selection Stability of Stability Selection and Its Applications
par: Nouraie, Mahdi, et autres
Publié: (2024)

Debiased Bayesian Inference for High-dimensional Regression Models
par: Chen, Qihui, et autres
Publié: (2025)

If generative AI is the answer, what is the question?
par: Tewari, Ambuj
Publié: (2025)

Differentially Private Conformal Prediction via Quantile Binary Search
par: Romanus, Ogonnaya M., et autres
Publié: (2025)

Tucker Diffusion Model for High-dimensional Tensor Generation
par: Guo, Jianhua, et autres
Publié: (2026)

Stability Selection via Variable Decorrelation
par: Nouraie, Mahdi, et autres
Publié: (2025)

Diffusion-Driven High-Dimensional Variable Selection
par: Wang, Minjie, et autres
Publié: (2025)

Quantum Learning Theory Beyond Batch Binary Classification
par: Mohan, Preetham, et autres
Publié: (2023)

Partially factorized variational inference for high-dimensional mixed models
par: Goplerud, Max, et autres
Publié: (2023)

Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
par: Tian, Ye, et autres
Publié: (2024)

Inference on covariance structure in high-dimensional multi-view data
par: Mauri, Lorenzo, et autres
Publié: (2025)

Majority Vote for Distributed Differentially Private Sign Selection
par: Liu, Weidong, et autres
Publié: (2022)

Compute Aligned Training: Optimizing for Test Time Inference
par: Ousherovitch, Adam, et autres
Publié: (2026)

The data augmentation algorithm
par: Roy, Vivekananda, et autres
Publié: (2024)

Variational empirical Bayes variable selection in high-dimensional logistic regression
par: Tang, Yiqi, et autres
Publié: (2025)

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
par: Ascolani, Filippo, et autres
Publié: (2025)

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
par: De, Sourav, et autres
Publié: (2025)

Computing high-dimensional optimal transport by flow neural networks
par: Xu, Chen, et autres
Publié: (2023)

rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices
par: Peeters, Carel F. W., et autres
Publié: (2020)

A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
par: Hong, Kihyuk, et autres
Publié: (2025)