Quoc Phong Nguyen | DeepAI

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Featured Co-authors

Patrick Jaillet
54 publications
Harold Soh
35 publications
Kian Hsiang Low
28 publications
Bryan Kian Hsiang Low
27 publications
Zhongxiang Dai
19 publications
Tien Mai
14 publications
Dinil Mon Divakaran
10 publications
Kar Wai Lim
8 publications
Mun Choon Chan
5 publications
Sreejith Balakrishnan
2 publications
Zhaoxuan Wu
2 publications

∙ 02/28/2022

Rectified Max-Value Entropy Search for Bayesian Optimization

Although the existing max-value entropy search (MES) is based on the wid...

10 Quoc Phong Nguyen, et al. ∙

∙ 02/28/2022

Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten

As the use of machine learning (ML) models is becoming increasingly popu...

0 Quoc Phong Nguyen, et al. ∙

∙ 07/30/2021

Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization

Information-based Bayesian optimization (BO) algorithms have achieved st...

9 Quoc Phong Nguyen, et al. ∙

∙ 05/13/2021

Value-at-Risk Optimization with Gaussian Processes

Value-at-risk (VaR) is an established measure to assess risks in critica...

29 Quoc Phong Nguyen, et al. ∙

∙ 12/19/2020

An Information-Theoretic Framework for Unifying Active Learning Problems

This paper presents an information-theoretic framework for unifying acti...

11 Quoc Phong Nguyen, et al. ∙

∙ 12/19/2020

Top-k Ranking Bayesian Optimization

This paper presents a novel approach to top-k ranking Bayesian optimizat...

19 Quoc Phong Nguyen, et al. ∙

∙ 11/17/2020

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization

The problem of inverse reinforcement learning (IRL) is relevant to a var...

7 Sreejith Balakrishnan, et al. ∙

∙ 10/24/2020

Variational Bayesian Unlearning

This paper studies the problem of approximately unlearning a Bayesian mo...

3 Quoc Phong Nguyen, et al. ∙

∙ 11/16/2019

Inverse Reinforcement Learning with Missing Data

We consider the problem of recovering an expert's reward function with i...

26 Tien Mai, et al. ∙

∙ 03/15/2019

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

This paper looks into the problem of detecting network anomalies by anal...

0 Quoc Phong Nguyen, et al. ∙

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