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Maximilian Balandat
Maximilian Balandat
Research Scientist Manager, Meta
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Title
Cited by
Cited by
Year
BoTorch: a framework for efficient Monte-Carlo Bayesian optimization
M Balandat, B Karrer, D Jiang, S Daulton, B Letham, AG Wilson, E Bakshy
Advances in neural information processing systems 33, 21524-21538, 2020
296*2020
Differentiable expected hypervolume improvement for parallel multi-objective Bayesian optimization
S Daulton, M Balandat, E Bakshy
Advances in Neural Information Processing Systems 33, 9851-9864, 2020
742020
Contract design for frequency regulation by aggregations of commercial buildings
M Balandat, F Oldewurtel, M Chen, C Tomlin
2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014
512014
Residential demand response targeting using machine learning with observational data
D Zhou, M Balandat, C Tomlin
2016 IEEE 55th conference on decision and control (CDC), 6663-6668, 2016
462016
On infinite horizon switched LQR problems with state and control constraints
M Balandat, W Zhang, A Abate
Systems & Control Letters 61 (4), 464-471, 2012
302012
Constrained robust optimal trajectory tracking: Model predictive control approaches
M Balandat
Control Systems Technology, 2010
292010
The hedge algorithm on a continuum
W Krichene, M Balandat, C Tomlin, A Bayen
International Conference on Machine Learning, 824-832, 2015
252015
Building model identification during regular operation-empirical results and challenges
Q Hu, F Oldewurtel, M Balandat, E Vrettos, D Zhou, CJ Tomlin
2016 American Control Conference (ACC), 605-610, 2016
232016
Sustainable ai: Environmental implications, challenges and opportunities
CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ...
Proceedings of Machine Learning and Systems 4, 795-813, 2022
222022
A bayesian perspective on residential demand response using smart meter data
D Zhou, M Balandat, C Tomlin
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
222016
On efficiency in mean field differential games
M Balandat, CJ Tomlin
2013 American Control Conference, 2527-2532, 2013
202013
Optimizing coverage and capacity in cellular networks using machine learning
RM Dreifuerst, S Daulton, Y Qian, P Varkey, M Balandat, S Kasturia, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
182021
Parallel bayesian optimization of multiple noisy objectives with expected hypervolume improvement
S Daulton, M Balandat, E Bakshy
Advances in Neural Information Processing Systems 34, 2187-2200, 2021
162021
Efficient nonmyopic bayesian optimization via one-shot multi-step trees
S Jiang, D Jiang, M Balandat, B Karrer, J Gardner, R Garnett
Advances in Neural Information Processing Systems 33, 18039-18049, 2020
142020
Eliciting private user information for residential demand response
DP Zhou, M Balandat, MA Dahleh, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 189-195, 2017
132017
Minimizing regret on reflexive Banach spaces and Nash equilibria in continuous zero-sum games
M Balandat, W Krichene, C Tomlin, A Bayen
Advances in Neural Information Processing Systems 29, 2016
122016
Bayesian optimization with high-dimensional outputs
WJ Maddox, M Balandat, AG Wilson, E Bakshy
Advances in Neural Information Processing Systems 34, 19274-19287, 2021
112021
Multi-objective bayesian optimization over high-dimensional search spaces
S Daulton, D Eriksson, M Balandat, E Bakshy
Uncertainty in Artificial Intelligence, 507-517, 2022
102022
Minimizing regret on reflexive banach spaces and learning nash equilibria in continuous zero-sum games
M Balandat, W Krichene, C Tomlin, A Bayen
arXiv preprint arXiv:1606.01261, 2016
82016
Estimating treatment effects of a residential demand response program using non-experimental data
DP Zhou, M Balandat, CJ Tomlin
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 95-102, 2017
72017
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