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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...
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10/31/2022
Latent Multimodal Functional Graphical Model Estimation
Joint multimodal functional data acquisition, where functional data from...
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01/31/2022
L-SVRG and L-Katyusha with Adaptive Sampling
Stochastic gradient-based optimization methods, such as L-SVRG and its a...
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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...
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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...
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02/19/2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
We study the optimization aspects of personalized Federated Learning (FL...
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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...
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10/22/2019
