Concepedia

Maximilian Balandat

MB

Statistics

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 optimization, computer science, and bayesian optimization.

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 · 352 citations · Full text

Computing, Computer Science, Computer Systems +14

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Maximilian Balandat, Brian Karrer, Daniel Jiang et al. · arXiv (Cornell University) · 2019 · 204 citations · Full text

Computing, Computer Engineering, Computer Science +17

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Samuel Daulton, Maximilian Balandat, Eytan Bakshy · arXiv (Cornell University) · 2020 · 122 citations · Full text

Computing, Computer Science, Decision Sciences +16

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

Computing, Computational Engineering, Computer Science +14

BoTorch: Programmable Bayesian Optimization in PyTorch.

Maximilian Balandat, Brian Karrer, Daniel Jiang et al. · 2019 · 61 citations

Computing, Computer Engineering, Computer Science +17

1–5 of 23