STAT520P: Bayesian Optimization

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!

Title	Topics	Authors	Venue	Link
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning	latent space BO	Antoine 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-Ammar	ArXiV, 2021	PDF
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces	latent space BO	Aryan Deshwal, Janardhan Rao Doppa	NeurIPS, 2021	PDF
Local Latent Space Bayesian Optimization over Structured Inputs	latent space BO, local BO	Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner	NeurIPS, 2023	PDF
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders	latent space BO	Samuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson	ICML, 2023	PDF
Scalable Global Optimization via Local Bayesian	local BO	David Eriksson, Michael Pearce, Jacob R Gardner, Ryan Turner, Matthias Poloczek	NeurIPS, 2019	PDF
Discovering Many Diverse Solutions with Bayesian Optimization	latent space BO, local BO, misspecified BO	Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner	AISTATS, 2023	PDF
The Behavior and Convergence of Local Bayesian Optimization	local BO	Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner	NeurIPS, 2023	PDF
Deep Gaussian Processes for Multi-fidelity Modeling	greybox BO	Kurt Cutajar, Mark Pullin, Andreas Damianou, Neil Lawrence, Javier González	ArXiV, 2019	PDF
Bayesian Optimization of Function Networks	greybox BO	Raul Astudillo, Peter I. Frazier	NeurIPS, 2021	PDF
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement	multi-objective BO	Samuel Daulton, Maximilian Balandat, Eytan Bakshy	NeurIPS, 2021	PDF
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces	multi-objective BO	Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy	UAI, 2022	PDF
Multi-Attribute Bayesian Optimization With Interactive Preference Learning	preference BO	Raul Astudillo, Peter I. Frazier	AISTATS, 2020	PDF
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes	preference BO	Zhiyuan Jerry Lin, Raul Astudillo, Peter I. Frazier, Eytan Bakshy	AISTATS, 2022	PDF
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization	preference BO	Raul Astudillo, Zhiyuan Jerry Lin, Eytan Bakshy, Peter I. Frazier	AISTATS, 2023	PDF
Preference-Aware Constrained Multi-Objective Bayesian Optimization	multi-objective BO, preference BO	Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa	NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022	PDF
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes	preference BO	Zhiyuan Jerry Lin, Raul Astudillo, Peter I. Frazier, Eytan Bakshy	AISTATS, 2022	PDF
Multi-Attribute Bayesian Optimization With Interactive Preference Learning	preference BO	Raul Astudillo, Peter I. Frazier	AISTATS, 2020	PDF
Causal Bayesian Optimization	causal BO	Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González	AISTATS, 2020	PDF
Dynamic Causal Bayesian Optimization	causal BO	Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas	NeurIPS, 2021	PDF
Model-based Causal Bayesian Optimization	causal BO	Scott Sussex, Anastasiia Makarova, Andreas Krause	ICLR, 2023	PDF
Functional Causal Bayesian Optimization	causal BO	Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa	UAI, 2023	PDF
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees	non-myopic decision making	Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett	NeurIPS, 2020	PDF
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs	cost aware BO, non-myopic decision making	Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier	NeurIPS, 2021	PDF
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization	cost aware BO, non-myopic decision making	Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias Seeger	UAI, 2021	PDF
Budgeted Bandit Problems with Continuous Random Costs	cost aware BO	Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin	ACML, 2016	PDF
Budgeted Multi–Armed Bandit in Continuous Action Space	cost aware BO	Francesco Trovo, Stefano Paladino, Marcello Restelli, Nicola Gatti	ECAI, 2016	PDF
Efficient Nonmyopic Active Search	generalizations of BO, non-myopic decision making	Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett	ICML, 2017	PDF
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information	generalizations of BO	Willie Neiswanger, Ke Alexander Wang, Stefano Ermon	ICML, 2021	PDF
Bayesian Optimization with Conformal Coverage Guarantees	generalizations of BO	Samuel Stanton, Wesley Maddox, Andrew Gordon Wilson	AISTATS, 2023	PDF
Bayesian Optimization with Inequality Constraints	constrained BO	Jacob R. Gardner, Matt J. Kusner, Zhixiang Xu, Kilian Q. Weinberger, John P. Cunningham	ICML, 2014	PDF
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization	mixed-space BO	Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy	NeurIPS, 2022	PDF