Maximilian Balandat

Orcid: 0000-0002-8214-8935

According to our database¹, Maximilian Balandat authored at least 42 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Quasi-Monte Carlo Methods in Python.

[BibT_eX]

[DOI]

J. Open Source Softw., July, 2023

Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers.

[BibT_eX]

[DOI]

P. Rodriguez-Fernandez

CoRR, 2023

Joint Composite Latent Space Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Bayesian Optimization of Function Networks with Partial Evaluations.

[BibT_eX]

[DOI]

CoRR, 2023

HHVM Performance Optimization for Large Scale Web Services.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Unexpected Improvements to Expected Improvement for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information.

[BibT_eX]

[DOI]

Samuel Daulton

Maximilian Balandat

Eytan Bakshy

Proceedings of the International Conference on Machine Learning, 2023

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multi-objective Bayesian optimization over high-dimensional search spaces.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sustainable AI: Environmental Implications, Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of Machine Learning and Systems 2022, 2022

Robust Multi-Objective Bayesian Optimization Under Input Noise.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization.

[BibT_eX]

[DOI]

Wesley J. Maddox

Qing Feng

Maximilian Balandat

CoRR, 2021

Sustainable AI: Environmental Implications, Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2021

Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

BOW: First Real-World Demonstration of a Firewall-based Bayesian Optimization System for Wavelength Deployment.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Bayesian Optimization with High-Dimensional Outputs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement.

[BibT_eX]

[DOI]

Samuel Daulton

Maximilian Balandat

Eytan Bakshy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimizing Coverage and Capacity in Cellular Networks using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization.

[BibT_eX]

[DOI]

Samuel Daulton

Maximilian Balandat

Eytan Bakshy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

BoTorch: Programmable Bayesian Optimization in PyTorch.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Estimation and Targeting of Residential Households for Hour-Ahead Demand Response Interventions - A Case Study in California.

[BibT_eX]

[DOI]

Datong P. Zhou

Maximilian Balandat

Claire J. Tomlin

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017

Incentive Design in Human-in-the-Loop Cyber-Physical Systems: A Case Study on Demand Response in California.

[BibT_eX]

[DOI]

Datong P. Zhou

Maximilian Balandat

Claire J. Tomlin

CoRR, 2017

Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data.

[BibT_eX]

[DOI]

Datong Paul Zhou

Maximilian Balandat

Claire Jennifer Tomlin

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Eliciting private user information for residential demand response.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Minimizing Regret on Reflexive Banach Spaces and Learning Nash Equilibria in Continuous Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2016

Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Residential demand response targeting using machine learning with observational data.

[BibT_eX]

[DOI]

Datong Zhou

Maximilian Balandat

Claire J. Tomlin

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Building model identification during regular operation - empirical results and challenges.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

A Bayesian perspective on Residential Demand Response using smart meter data.

[BibT_eX]

[DOI]

Datong Zhou

Maximilian Balandat

Claire J. Tomlin

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

The Hedge Algorithm on a Continuum.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

A mean field equilibrium for a model of interbank lending.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Contract design for frequency regulation by aggregations of commercial buildings.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

On efficiency in mean field differential games.

[BibT_eX]

[DOI]

Maximilian Balandat

Claire J. Tomlin

Proceedings of the American Control Conference, 2013

A dynamic VCG mechanism for random allocation spaces.

[BibT_eX]

[DOI]

Maximilian Balandat

Claire J. Tomlin

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

On infinite horizon switched LQR problems with state and control constraints.

[BibT_eX]

[DOI]

Maximilian Balandat

Wei Zhang

Alessandro Abate

Syst. Control. Lett., 2012

2011

Interpolation in output-feedback tube-based robust MPC.

[BibT_eX]

[DOI]

Maximilian Balandat

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

On the infinite horizon constrained switched LQR problem.

[BibT_eX]

[DOI]

Maximilian Balandat

Wei Zhang

Alessandro Abate

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Maximilian Balandat

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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