Maximilian Balandat
Hesco (United States)(US)
Publications by Year
Research Areas
Advanced Bandit Algorithms Research, Gaussian Processes and Bayesian Inference, Advanced Multi-Objective Optimization Algorithms, Smart Grid Energy Management, Machine Learning and Data Classification
Most-Cited Works
- → Sustainable AI: Environmental Implications, Challenges and Opportunities(2021)346 cited
- → BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization(2019)203 cited
- → Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization(2020)121 cited
- → Parallel Bayesian Optimization of Multiple Noisy Objectives with\n Expected Hypervolume Improvement(2021)92 cited
- BoTorch: Programmable Bayesian Optimization in PyTorch.(2019)
- → Residential demand response targeting using machine learning with observational data(2016)46 cited
- → Unexpected Improvements to Expected Improvement for Bayesian Optimization(2023)43 cited
- → Contract design for frequency regulation by aggregations of commercial buildings(2014)41 cited
- → Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers(2024)30 cited