Xiaowu Dai | DeepAI

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Featured Co-authors

Michael I. Jordan
283 publications
Guang Cheng
70 publications
Lexin Li
30 publications
Jared D. Huling
13 publications
Yuhua Zhu
12 publications
Yuantong Li
10 publications
Alzheimer's disease Neuroimaging Initiative
7 publications
Jiale Han
4 publications
Xiang Lyu
4 publications
Peter Chien
2 publications
Lisa Goldberg
2 publications

∙ 06/06/2023

Li, Li, and Dai's Contribution to the Discussion of "Estimating Means of Bounded Random Variables by Betting" by Waudby-Smith and Aaditya Ramdas

We congratulate Waudby-Smith and Ramdas for their interesting paper <cit...

0 Yijia Li, et al. ∙

∙ 02/20/2023

Continuous Time Analysis of Dynamic Matching in Heterogeneous Networks

This paper addresses the problem of dynamic matching in heterogeneous ne...

0 Xiaowu Dai, et al. ∙

∙ 02/02/2023

Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions

This paper presents a novel mechanism design for multi-item auction sett...

0 Jiale Han, et al. ∙

∙ 01/24/2023

Double Matching Under Complementary Preferences

In this paper, we propose a new algorithm for addressing the problem of ...

0 Yuantong Li, et al. ∙

∙ 11/23/2022

Incentive-Aware Recommender Systems in Two-Sided Markets

Online platforms in the Internet Economy commonly incorporate recommende...

0 Xiaowu Dai, et al. ∙

∙ 09/16/2022

Nonparametric Estimation via Mixed Gradients

Traditional nonparametric estimation methods often lead to a slow conver...

0 Xiaowu Dai, et al. ∙

∙ 12/02/2021

On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective

We study the statistical properties of the dynamic trajectory of stochas...

0 Xiaowu Dai, et al. ∙

∙ 10/24/2021

Post-Regularization Confidence Bands for Ordinary Differential Equations

Ordinary differential equation (ODE) is an important tool to study the d...

0 Xiaowu Dai, et al. ∙

∙ 05/25/2021

Kernel Knockoffs Selection for Nonparametric Additive Models

Thanks to its fine balance between model flexibility and interpretabilit...

0 Xiaowu Dai, et al. ∙

∙ 03/12/2021

A Resampling Approach For causal Inference On Novel Two-Point Time-Series With Application To Identify Risk Factors For Type-2 Diabetes And Cardiovascular Disease

Two-point time-series data, characterized by baseline and follow-up obse...

1 Xiaowu Dai, et al. ∙

∙ 03/12/2021

Orthogonal Statistical Inference for Multimodal Data Analysis

Multimodal imaging has transformed neuroscience research. While it prese...

1 Xiaowu Dai, et al. ∙

∙ 02/13/2021

Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors

Matching markets are often organized in a multi-stage and decentralized ...

6 Xiaowu Dai, et al. ∙

∙ 10/29/2020

Learning Strategies in Decentralized Matching Markets under Uncertain Preferences

We study two-sided decentralized matching markets in which participants ...

1 Xiaowu Dai, et al. ∙

∙ 08/07/2020

Kernel Ordinary Differential Equations

Ordinary differential equations (ODE) are widely used in modeling biolog...

0 Xiaowu Dai, et al. ∙

∙ 12/03/2018

Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent

Stochastic gradient descent (SGD) is almost ubiquitously used for traini...

0 Xiaowu Dai, et al. ∙

∙ 10/25/2018

Alzheimer's Disease Prediction Using Longitudinal and Heterogeneous Magnetic Resonance Imaging

Recent evidence has shown that structural magnetic resonance imaging (MR...

0 Xiaowu Dai, et al. ∙

∙ 06/05/2018

Selection and Estimation Optimality in High Dimensions with the TWIN Penalty

We introduce a novel class of variable selection penalties called TWIN, ...

0 Xiaowu Dai, et al. ∙

∙ 01/31/2018

Optimal Calibration for Computer Model Prediction with Finite Samples

This paper considers the computer model prediction in a non-asymptotic f...

0 Xiaowu Dai, et al. ∙

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