Cover Image

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Xinmeng, Xu, Kan, Lee, Donghwan, Hassani, Hamed, Bastani, Hamsa, Dobriban, Edgar
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multitask Learning and Bandits via Robust Statistics
by: Xu, Kan, et al.
Published: (2021)

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
by: Moniri, Behrad, et al.
Published: (2023)

One-Shot Safety Alignment for Large Language Models via Optimal Dualization
by: Huang, Xinmeng, et al.
Published: (2024)

Linear Contextual Bandits with Interference
by: Xu, Yang, et al.
Published: (2024)

Stochastic Bandits with ReLU Neural Networks
by: Xu, Kan, et al.
Published: (2024)

Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025)

High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
by: Xu, Kan, et al.
Published: (2021)

Stochastic Online Conformal Prediction with Semi-Bandit Feedback
by: Ge, Haosen, et al.
Published: (2024)

Optimal Cross-Validation for Sparse Linear Regression
by: Cory-Wright, Ryan, et al.
Published: (2023)

Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)

Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026)

Attack-Resistant Uniform Fairness for Linear and Smooth Contextual Bandits
by: Zhang, Qingwen, et al.
Published: (2026)

SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)

Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
by: Qiu, Hongxiang, et al.
Published: (2023)

Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)

The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
by: Thompson, Ryan, et al.
Published: (2023)

High-dimensional Nonparametric Contextual Bandit Problem
by: Iwazaki, Shogo, et al.
Published: (2025)

Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024)

Locally Private Nonparametric Contextual Multi-armed Bandits
by: Ma, Yuheng, et al.
Published: (2025)

Evaluating the Performance of Large Language Models via Debates
by: Moniri, Behrad, et al.
Published: (2024)

Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
by: Chen, Elynn, et al.
Published: (2026)

Cramming Contextual Bandits for On-policy Statistical Evaluation
by: Jia, Zeyang, et al.
Published: (2024)

Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)

Length Optimization in Conformal Prediction
by: Kiyani, Shayan, et al.
Published: (2024)

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints
by: Das, Udvas, et al.
Published: (2024)

Contextual Linear Optimization with Partial Feedback
by: Hu, Yichun, et al.
Published: (2024)

Provable tradeoffs in adversarially robust classification
by: Dobriban, Edgar, et al.
Published: (2020)

MultiRisk: Multiple Risk Control via Iterative Score Thresholding
by: Joshi, Sunay, et al.
Published: (2025)

Nearly Optimal Best Arm Identification for Semiparametric Bandits
by: Kim, Seok-Jin
Published: (2026)

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression
by: Xie, Dongyue, et al.
Published: (2026)

Rethinking Algorithmic Fairness for Human-AI Collaboration
by: Ge, Haosen, et al.
Published: (2023)

Robust and Sparse Regression in GLM by Stochastic Optimization
by: Kawashima, Takayuki, et al.
Published: (2018)

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by: Zhan, Ruohan, et al.
Published: (2021)

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)

Risk-Controlled Post-Processing of Decision Policies
by: Joshi, Sunay, et al.
Published: (2026)

Asymptotics of Linear Regression with Linearly Dependent Data
by: Moniri, Behrad, et al.
Published: (2024)

Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)

Coefficient Shape Alignment in Multiple Functional Linear Regression
by: Jiao, Shuhao, et al.
Published: (2023)

EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
by: Welbaum, Andrew, et al.
Published: (2025)