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02/28/2022
Rectified Max-Value Entropy Search for Bayesian Optimization
Although the existing max-value entropy search (MES) is based on the wid...
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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...
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07/30/2021
Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization
Information-based Bayesian optimization (BO) algorithms have achieved st...
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05/13/2021
Value-at-Risk Optimization with Gaussian Processes
Value-at-risk (VaR) is an established measure to assess risks in critica...
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12/19/2020
An Information-Theoretic Framework for Unifying Active Learning Problems
This paper presents an information-theoretic framework for unifying acti...
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12/19/2020
Top-k Ranking Bayesian Optimization
This paper presents a novel approach to top-k ranking Bayesian optimizat...
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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...
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10/24/2020
Variational Bayesian Unlearning
This paper studies the problem of approximately unlearning a Bayesian mo...
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11/16/2019
Inverse Reinforcement Learning with Missing Data
We consider the problem of recovering an expert's reward function with i...
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03/15/2019