STAT520P: Bayesian Optimization

Oct-Dec 2023

Special Topics Papers

The following is a list of suggested papers top cover in the second half of the course. I am also open to other paper recommendations!

TitleTopicsAuthorsVenueLink
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learninglatent space BOAntoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-AmmarArXiV, 2021PDF
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaceslatent space BOAryan Deshwal, Janardhan Rao DoppaNeurIPS, 2021PDF
Local Latent Space Bayesian Optimization over Structured Inputslatent space BO, local BONatalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. GardnerNeurIPS, 2023PDF
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoderslatent space BOSamuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon WilsonICML, 2023PDF
Scalable Global Optimization via Local Bayesianlocal BODavid Eriksson, Michael Pearce, Jacob R Gardner, Ryan Turner, Matthias PoloczekNeurIPS, 2019PDF
Discovering Many Diverse Solutions with Bayesian Optimization latent space BO, local BO, misspecified BONatalie Maus, Kaiwen Wu, David Eriksson, Jacob R. GardnerAISTATS, 2023PDF
The Behavior and Convergence of Local Bayesian Optimization local BOKaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. GardnerNeurIPS, 2023PDF
Deep Gaussian Processes for Multi-fidelity Modelinggreybox BOKurt Cutajar, Mark Pullin, Andreas Damianou, Neil Lawrence, Javier GonzálezArXiV, 2019PDF
Bayesian Optimization of Function Networksgreybox BORaul Astudillo, Peter I. FrazierNeurIPS, 2021PDF
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvementmulti-objective BOSamuel Daulton, Maximilian Balandat, Eytan BakshyNeurIPS, 2021PDF
Multi-Objective Bayesian Optimization over High-Dimensional Search Spacesmulti-objective BOSamuel Daulton, David Eriksson, Maximilian Balandat, Eytan BakshyUAI, 2022PDF
Multi-Attribute Bayesian Optimization With Interactive Preference Learningpreference BORaul Astudillo, Peter I. FrazierAISTATS, 2020PDF
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomespreference BOZhiyuan Jerry Lin, Raul Astudillo, Peter I. Frazier, Eytan BakshyAISTATS, 2022PDF
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimizationpreference BORaul Astudillo, Zhiyuan Jerry Lin, Eytan Bakshy, Peter I. FrazierAISTATS, 2023PDF
Preference-Aware Constrained Multi-Objective Bayesian Optimizationmulti-objective BO, preference BOAlaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao DoppaNeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022PDF
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomespreference BOZhiyuan Jerry Lin, Raul Astudillo, Peter I. Frazier, Eytan BakshyAISTATS, 2022PDF
Multi-Attribute Bayesian Optimization With Interactive Preference Learningpreference BORaul Astudillo, Peter I. FrazierAISTATS, 2020PDF
Causal Bayesian Optimizationcausal BOVirginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier GonzálezAISTATS, 2020PDF
Dynamic Causal Bayesian Optimizationcausal BOVirginia Aglietti, Neil Dhir, Javier González, Theodoros DamoulasNeurIPS, 2021PDF
Model-based Causal Bayesian Optimizationcausal BOScott Sussex, Anastasiia Makarova, Andreas KrauseICLR, 2023PDF
Functional Causal Bayesian Optimizationcausal BOLimor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia ChiappaUAI, 2023PDF
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Treesnon-myopic decision makingShali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman GarnettNeurIPS, 2020PDF
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costscost aware BO, non-myopic decision makingRaul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. FrazierNeurIPS, 2021PDF
A Nonmyopic Approach to Cost-Constrained Bayesian Optimizationcost aware BO, non-myopic decision makingEric Hans Lee, David Eriksson, Valerio Perrone, Matthias SeegerUAI, 2021PDF
Budgeted Bandit Problems with Continuous Random Costscost aware BOYingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao QinACML, 2016PDF
Budgeted Multi–Armed Bandit in Continuous Action Spacecost aware BOFrancesco Trovo, Stefano Paladino, Marcello Restelli, Nicola GattiECAI, 2016PDF
Efficient Nonmyopic Active Searchgeneralizations of BO, non-myopic decision makingShali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman GarnettICML, 2017PDF
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Informationgeneralizations of BOWillie Neiswanger, Ke Alexander Wang, Stefano ErmonICML, 2021PDF
Bayesian Optimization with Conformal Coverage Guarantees generalizations of BOSamuel Stanton, Wesley Maddox, Andrew Gordon WilsonAISTATS, 2023PDF
Bayesian Optimization with Inequality Constraintsconstrained BOJacob R. Gardner, Matt J. Kusner, Zhixiang Xu, Kilian Q. Weinberger, John P. CunninghamICML, 2014PDF
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterizationmixed-space BOSamuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan BakshyNeurIPS, 2022PDF