Boxin Zhao | DeepAI

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Featured Co-authors

Jun Zhou
122 publications
Mladen Kolar
63 publications
Chaochao Chen
53 publications
Oluwasanmi Koyejo
52 publications
Zhiqiang Zhang
40 publications
Ziqi Liu
29 publications
Filip Hanzely
18 publications
Raul Castro Fernandez
16 publications
Y. Samuel Wang
12 publications
Boxiang Lyu
8 publications
Katherine Tsai
4 publications

∙ 06/05/2023

Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm

High-quality machine learning models are dependent on access to high-qua...

0 Boxin Zhao, et al. ∙

∙ 10/31/2022

Latent Multimodal Functional Graphical Model Estimation

Joint multimodal functional data acquisition, where functional data from...

0 Katherine Tsai, et al. ∙

∙ 01/31/2022

L-SVRG and L-Katyusha with Adaptive Sampling

Stochastic gradient-based optimization methods, such as L-SVRG and its a...

0 Boxin Zhao, et al. ∙

∙ 12/28/2021

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

In federated learning (FL) problems, client sampling plays a key role in...

0 Boxin Zhao, et al. ∙

∙ 05/06/2021

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach

Undirected graphical models have been widely used to model the condition...

0 Boxin Zhao, et al. ∙

∙ 02/19/2021

Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques

We study the optimization aspects of personalized Federated Learning (FL...

0 Filip Hanzely, et al. ∙

∙ 03/11/2020

FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves

We consider the problem of estimating the difference between two functio...

14 Boxin Zhao, et al. ∙

∙ 10/22/2019

Direct Estimation of Differential Functional Graphical Models

We consider the problem of estimating the difference between two functio...

15 Boxin Zhao, et al. ∙

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