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02/03/2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
We study preferential Bayesian optimization (BO) where reliable feedback...
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02/03/2023
Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds
Gaussian process upper confidence bound (GP-UCB) is a theoretically prom...
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01/31/2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
In black-box function optimization, we need to consider not only control...
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11/16/2021
Bayesian Optimization for Cascade-type Multi-stage Processes
Complex processes in science and engineering are often formulated as mul...
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02/19/2021
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Recently, several Bayesian optimization (BO) methods have been extended ...
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02/03/2020
Distance Metric Learning for Graph Structured Data
Graphs are versatile tools for representing structured data. Therefore, ...
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09/13/2019
Active learning for level set estimation under cost-dependent input uncertainty
As part of a quality control process in manufacturing it is often necess...
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06/01/2019
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
We propose Pareto-frontier entropy search (PFES) for multi-objective Bay...
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05/06/2019
Statistically Discriminative Sub-trajectory Mining
We study the problem of discriminative sub-trajectory mining. Given two ...
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01/24/2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search
Bayesian optimization (BO) is an effective tool for black-box optimizati...
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02/12/2018
Safe Triplet Screening for Distance Metric Learning
We study safe screening for metric learning. Distance metric learning ca...
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02/15/2016
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining
In this paper we study predictive pattern mining problems where the goal...
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02/08/2016
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling
The problem of learning a sparse model is conceptually interpreted as th...
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06/26/2015
Safe Feature Pruning for Sparse High-Order Interaction Models
Taking into account high-order interactions among covariates is valuable...
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02/09/2015