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A weight-relaxed model averaging approach for high-dimensional generalized linear models

The Annals of statistics, 2017-12, Vol.45 (6)

2017

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I-Optimal Design of Mixture Experiments

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.899-911

2016

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Information-based Optimal Subdata Selection for Clusterwise Linear Regression

Statistica Sinica, 2026

2026

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Metalearners for estimating heterogeneous treatment effects using machine learning

Proceedings of the National Academy of Sciences - PNAS, 2019-03, Vol.116 (10), p.4156-4165

2019

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Late-day measurement of excised branches results in uncertainty in the estimation of two stomatal parameters derived from response curves in Populus deltoides Bartr. × Populus nigra L

Tree physiology, 2022-07, Vol.42 (7), p.1377-1395

2022

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Learning models with uniform performance via distributionally robust optimization

The Annals of statistics, 2021-06, Vol.49 (3), p.1378

2021

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Order-of-addition orthogonal arrays to study the effect of treatment ordering

The Annals of statistics, 2023-08, Vol.51 (4), p.1877

2023

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A Simple and Optimal Policy Design with Safety Against Heavy-Tailed Risk for Stochastic Bandits

Management science, 2024-10

2024

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Multi-armed Bandit Experimental Design: Online Decision-Making and Adaptive Inference

Management science, 2024-09

2024

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Adaptive Huber Regression

Journal of the American Statistical Association, 2020-01, Vol.115 (529), p.254-265

2020

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MONOTONIC CONVERGENCE OF A GENERAL ALGORITHM FOR COMPUTING OPTIMAL DESIGNS

The Annals of statistics, 2010-06, Vol.38 (3), p.1593-1606

Yu, Yaming

2010

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Stacking models for nearly optimal link prediction in complex networks

Proceedings of the National Academy of Sciences - PNAS, 2020-09, Vol.117 (38), p.23393-23400

2020

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Optimal Designs for Step-Stress Models Under Interval Censoring

Journal of statistical theory and practice, 2019-12, Vol.13 (4), Article 54

2019

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OPTIMAL DESIGNS FOR NONLINEAR MODELS WITH RANDOM BLOCK EFFECTS

Statistica Sinica, 2019-01, Vol.29 (1), p.283-302

2019

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The Widened Pipe Model of plant hydraulic evolution

Proceedings of the National Academy of Sciences - PNAS, 2021-06, Vol.118 (22), p.1-8

2021

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HIGH-DIMENSIONAL CHANGE-POINT DETECTION UNDER SPARSE ALTERNATIVES

The Annals of statistics, 2019-08, Vol.47 (4), p.2051-2079

2019

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Optimal Subsampling for Large Sample Logistic Regression

Journal of the American Statistical Association, 2018-01, Vol.113 (522), p.829-844

2018

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Statistically optimal and computationally efficient low rank tensor completion from noisy entries

The Annals of statistics, 2021-02, Vol.49 (1), p.76

2021

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Polar response strategies across modalities: Evidence from German Sign Language (DGS)

Language (Baltimore), 2024-09, Vol.100 (3), p.433-467

2024

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Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data

Journal of the American Statistical Association, 2022-01, Vol.117 (537), p.265-276

2022

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An optimal statistical and computational framework for generalized tensor estimation

The Annals of statistics, 2022-02, Vol.50 (1), p.1

2022

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Predictability of leaf traits with climate and elevation: a case study in Gongga Mountain, China

Tree physiology, 2021-08, Vol.41 (8), p.1336-1352

2021

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Settling the sample complexity of model-based offline reinforcement learning

The Annals of statistics, 2024-02, Vol.52 (1), p.233

2024

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The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection

Management science, 2024-05

2024

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Parsimonious Model Averaging With a Diverging Number of Parameters

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.972-984

2020

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A weight-relaxed model averaging approach for high-dimensional generalized linear models

I-Optimal Design of Mixture Experiments

Information-based Optimal Subdata Selection for Clusterwise Linear Regression

Metalearners for estimating heterogeneous treatment effects using machine learning

Late-day measurement of excised branches results in uncertainty in the estimation of two stomatal parameters derived from response curves in Populus deltoides Bartr. × Populus nigra L

Learning models with uniform performance via distributionally robust optimization

Order-of-addition orthogonal arrays to study the effect of treatment ordering

A Simple and Optimal Policy Design with Safety Against Heavy-Tailed Risk for Stochastic Bandits

Multi-armed Bandit Experimental Design: Online Decision-Making and Adaptive Inference

Adaptive Huber Regression

MONOTONIC CONVERGENCE OF A GENERAL ALGORITHM FOR COMPUTING OPTIMAL DESIGNS

Stacking models for nearly optimal link prediction in complex networks

Optimal Designs for Step-Stress Models Under Interval Censoring

OPTIMAL DESIGNS FOR NONLINEAR MODELS WITH RANDOM BLOCK EFFECTS

The Widened Pipe Model of plant hydraulic evolution

HIGH-DIMENSIONAL CHANGE-POINT DETECTION UNDER SPARSE ALTERNATIVES

Optimal Subsampling for Large Sample Logistic Regression

Statistically optimal and computationally efficient low rank tensor completion from noisy entries

Polar response strategies across modalities: Evidence from German Sign Language (DGS)

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data

An optimal statistical and computational framework for generalized tensor estimation

Predictability of leaf traits with climate and elevation: a case study in Gongga Mountain, China

Settling the sample complexity of model-based offline reinforcement learning

The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection

Parsimonious Model Averaging With a Diverging Number of Parameters

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