Maximilian Balandat

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 48

Top Topics

Monte Carlo Methods

Machine Learning

Nash Equilibria

Efficient Optimization

Top Venues

Publications

Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin Carlberg, Neil Walton, Kody J. H. Law
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need. CoRR (2024)
Pamphile T. Roy, Art B. Owen, Maximilian Balandat, Matt Haberland
Quasi-Monte Carlo Methods in Python. J. Open Source Softw. 8 (87) (2023)
Poompol Buathong, Jiayue Wan, Samuel Daulton, Raul Astudillo, Maximilian Balandat, Peter I. Frazier
Bayesian Optimization of Function Networks with Partial Evaluations. CoRR (2023)
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information. ICML (2023)
P. Rodriguez-Fernandez, N. T. Howard, A. Saltzman, S. Kantamneni, J. Candy, C. Holland, Maximilian Balandat, Sebastian Ament, A. E. White
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers. CoRR (2023)
Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy
Unexpected Improvements to Expected Improvement for Bayesian Optimization. NeurIPS (2023)
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS (2023)
Natalie Maus, Zhiyuan (Jerry) Lin, Maximilian Balandat, Eytan Bakshy
Joint Composite Latent Space Bayesian Optimization. CoRR (2023)
Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy
Unexpected Improvements to Expected Improvement for Bayesian Optimization. CoRR (2023)
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. CoRR (2023)
Yuhao Li, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin Lee
HHVM Performance Optimization for Large Scale Web Services. ICPE (2023)
Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy
Multi-objective Bayesian optimization over high-dimensional search spaces. UAI (2022)
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
Sustainable AI: Environmental Implications, Challenges and Opportunities. MLSys (2022)
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization. NeurIPS (2022)
Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
Robust Multi-Objective Bayesian Optimization Under Input Noise. ICML (2022)
Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
Robust Multi-Objective Bayesian Optimization Under Input Noise. CoRR (2022)
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization. CoRR (2022)
Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces. CoRR (2021)
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim Hazelwood
Sustainable AI: Environmental Implications, Challenges and Opportunities. CoRR (2021)
Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. NeurIPS (2021)
Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.
Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. ICASSP (2021)
Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy
Bayesian Optimization with High-Dimensional Outputs. NeurIPS (2021)
Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy
Bayesian Optimization with High-Dimensional Outputs. CoRR (2021)
Wesley Maddox, Qing Feng, Maximilian Balandat
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization. CoRR (2021)
David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. CoRR (2021)
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement. NeurIPS (2021)
Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. CoRR (2021)
Zhizhen Zhong, Manya Ghobadi, Maximilian Balandat, Sanjeevkumar Katti, Abbas Kazerouni, Jonathan Leach, Mark McKillop, Ying Zhang
BOW: First Real-World Demonstration of a Firewall-based Bayesian Optimization System for Wavelength Deployment. OFC (2021)
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement. CoRR (2021)
Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.
Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. CoRR (2020)
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization. CoRR (2020)
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. CoRR (2020)
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization. NeurIPS (2020)
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. NeurIPS (2020)
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization. NeurIPS (2020)
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
BoTorch: Programmable Bayesian Optimization in PyTorch. CoRR (2019)
Datong P. Zhou, Maximilian Balandat, Claire J. Tomlin
Estimation and Targeting of Residential Households for Hour-Ahead Demand Response Interventions - A Case Study in California. CCTA (2018)
Datong P. Zhou, Maximilian Balandat, Munther A. Dahleh, Claire J. Tomlin
Eliciting private user information for residential demand response. CDC (2017)
Datong P. Zhou, Maximilian Balandat, Claire J. Tomlin
Incentive Design in Human-in-the-Loop Cyber-Physical Systems: A Case Study on Demand Response in California. CoRR (2017)
Datong Paul Zhou, Maximilian Balandat, Claire Jennifer Tomlin
Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data. ICDM Workshops (2017)
Qie Hu, Frauke Oldewurtel, Maximilian Balandat, Evangelos Vrettos, Datong Zhou, Claire J. Tomlin
Building model identification during regular operation - empirical results and challenges. ACC (2016)
Datong Zhou, Maximilian Balandat, Claire J. Tomlin
A Bayesian Perspective on Residential Demand Response Using Smart Meter Data. CoRR (2016)
Datong Zhou, Maximilian Balandat, Claire J. Tomlin
A Bayesian perspective on Residential Demand Response using smart meter data. Allerton (2016)
Maximilian Balandat, Walid Krichene, Claire J. Tomlin, Alexandre M. Bayen
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games. NIPS (2016)
Qie Hu, Frauke Oldewurtel, Maximilian Balandat, Evangelos Vrettos, Datong Zhou, Claire J. Tomlin
Building Model Identification during Regular Operation - Empirical Results and Challenges. CoRR (2016)
Maximilian Balandat, Walid Krichene, Claire J. Tomlin, Alexandre M. Bayen
Minimizing Regret on Reflexive Banach Spaces and Learning Nash Equilibria in Continuous Zero-Sum Games. CoRR (2016)
Datong Zhou, Maximilian Balandat, Claire J. Tomlin
Residential Demand Response Targeting Using Machine Learning with Observational Data. CoRR (2016)
Datong Zhou, Maximilian Balandat, Claire J. Tomlin
Residential demand response targeting using machine learning with observational data. CDC (2016)
Maximilian Balandat, Ilya Tkachev, Alessandro Abate, Claire J. Tomlin
A mean field equilibrium for a model of interbank lending. ACC (2015)
Walid Krichene, Maximilian Balandat, Claire J. Tomlin, Alexandre M. Bayen
The Hedge Algorithm on a Continuum. ICML (2015)
Maximilian Balandat, Frauke Oldewurtel, Mo Chen, Claire J. Tomlin
Contract design for frequency regulation by aggregations of commercial buildings. Allerton (2014)
Maximilian Balandat, Claire J. Tomlin
A dynamic VCG mechanism for random allocation spaces. Allerton (2013)
Maximilian Balandat, Claire J. Tomlin
On efficiency in mean field differential games. ACC (2013)
Maximilian Balandat, Wei Zhang, Alessandro Abate
On infinite horizon switched LQR problems with state and control constraints. Syst. Control. Lett. 61 (4) (2012)
Maximilian Balandat
Interpolation in output-feedback tube-based robust MPC. CDC/ECC (2011)
Maximilian Balandat, Wei Zhang, Alessandro Abate
On the infinite horizon constrained switched LQR problem. CDC (2010)