Young Lee | DeepAI

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Featured Co-authors

Masashi Sugiyama
222 publications
Issei Sato
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Marian-Andrei Rizoiu
37 publications
Lexing Xie
33 publications
Jun S. Liu
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Arnab Bhattacharyya
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Trong Nghia Hoang
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Swapnil Mishra
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Cheng Soon Ong
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Kar Wai Lim
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∙ 08/24/2023

Federated Learning of Causal Effects from Incomplete Observational Data

Decentralized and incomplete data sources are prevalent in real-world ap...

0 Thanh Vinh Vo, et al. ∙

∙ 01/01/2023

An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects

We propose a new causal inference framework to learn causal effects from...

0 Thanh Vinh Vo, et al. ∙

∙ 06/28/2021

Exact simulation of extrinsic stress-release processes

We present a new and straightforward algorithm that simulates exact samp...

0 Young Lee, et al. ∙

∙ 05/31/2021

Federated Estimation of Causal Effects from Observational Data

Many modern applications collect data that comes in federated spirit, wi...

0 Thanh Vinh Vo, et al. ∙

∙ 08/07/2020

Bayesian causal inference for count potential outcomes

The literature for count modeling provides useful tools to conduct causa...

0 Young Lee, et al. ∙

∙ 05/28/2019

Generative Parameter Sampler For Scalable Uncertainty Quantification

Uncertainty quantification has been a core of the statistical machine le...

0 Minsuk Shin, et al. ∙

∙ 03/13/2018

Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays

We propose a simulation method for multidimensional Hawkes processes bas...

0 Kar Wai Lim, et al. ∙

∙ 03/12/2018

Variational Inference for Gaussian Process with Panel Count Data

We present the first framework for Gaussian-process-modulated Poisson pr...

0 Hongyi Ding, et al. ∙

∙ 08/21/2017

A Tutorial on Hawkes Processes for Events in Social Media

This chapter provides an accessible introduction for point processes, an...

0 Marian-Andrei Rizoiu, et al. ∙

∙ 09/22/2016

Hawkes Processes with Stochastic Excitations

We propose an extension to Hawkes processes by treating the levels of se...

0 Young Lee, et al. ∙

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