Concepedia

Maximilian Balandat

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Publications

23

Citations

1.2K

H-Index

15

Active since

2012

Affiliations

University of California, Berkeley(Current)

Massachusetts Institute of Technology

Maximilian Balandat is an author at University of California, Berkeley specializing in engineering, data science, and computer science.

Top concepts

EngineeringData ScienceComputer ScienceMachine LearningBayesian OptimizationMathematical ProgrammingUncertainty QuantificationInverse ProblemsComputer EngineeringStatistical Inference

Publications per year

2012–2024

23

Publications

23

Sustainable AI: Environmental Implications, Challenges and Opportunities

Carole-Jean Wu, Ramya Raghavendra, Udit Gupta et al. · arXiv (Cornell University) · 2021 · 342 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Maximilian Balandat, Brian Karrer, Daniel Jiang et al. · arXiv (Cornell University) · 2019 · 202 citations · Full text

Artificial Intelligence, Model Optimization, Hyperparameter Estimation +15

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Samuel Daulton, Maximilian Balandat, Eytan Bakshy · arXiv (Cornell University) · 2020 · 121 citations · Full text

Large-scale Global Optimization, Engineering, Machine Learning +17

Parallel Bayesian Optimization of Multiple Noisy Objectives with\n Expected Hypervolume Improvement

Samuel Daulton, Maximilian Balandat, Eytan Bakshy · arXiv (Cornell University) · 2021 · 92 citations · Full text

BoTorch: Programmable Bayesian Optimization in PyTorch.

Maximilian Balandat, Brian Karrer, Daniel Jiang et al. · 2019 · 60 citations

Artificial Intelligence, Model Optimization, Hyperparameter Estimation +14

1–5 of 23