Search Results for author: Young Lee

Found 9 papers, 2 papers with code

Federated Learning of Causal Effects from Incomplete Observational Data

no code implementations24 Aug 2023 Thanh Vinh Vo, Young Lee, Tze-Yun Leong

We introduce a new approach for federated causal inference from incomplete data, enabling the estimation of causal effects from multiple decentralized and incomplete data sources.

Causal Inference Federated Learning

An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects

1 code implementation1 Jan 2023 Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong

We propose a new causal inference framework to learn causal effects from multiple, decentralized data sources in a federated setting.

Causal Inference Federated Learning

Federated Estimation of Causal Effects from Observational Data

1 code implementation31 May 2021 Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong

Many modern applications collect data that comes in federated spirit, with data kept locally and undisclosed.

Causal Inference Gaussian Processes

Generative Parameter Sampler For Scalable Uncertainty Quantification

no code implementations28 May 2019 Minsuk Shin, Young Lee, Jun S. Liu

Uncertainty quantification has been a core of the statistical machine learning, but its computational bottleneck has been a serious challenge for both Bayesians and frequentists.

General Classification Uncertainty Quantification

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

no code implementations13 Mar 2018 Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao

We propose a simulation method for multidimensional Hawkes processes based on superposition theory of point processes.

Point Processes

Variational Inference for Gaussian Process with Panel Count Data

no code implementations12 Mar 2018 Hongyi Ding, Young Lee, Issei Sato, Masashi Sugiyama

We present the first framework for Gaussian-process-modulated Poisson processes when the temporal data appear in the form of panel counts.

Variational Inference

A Tutorial on Hawkes Processes for Events in Social Media

no code implementations21 Aug 2017 Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra, Lexing Xie

This chapter provides an accessible introduction for point processes, and especially Hawkes processes, for modeling discrete, inter-dependent events over continuous time.

Point Processes

Hawkes Processes with Stochastic Excitations

no code implementations22 Sep 2016 Young Lee, Kar Wai Lim, Cheng Soon Ong

We propose an extension to Hawkes processes by treating the levels of self-excitation as a stochastic differential equation.

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