Balandat, Maximilian

23 publications

AutoML 2025 Ax: A Platform for Adaptive Experimentation Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat, Eytan Bakshy

NeurIPS 2025 Informed Initialization for Bayesian Optimization and Active Learning Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat

ICML 2025 Scalable Gaussian Processes with Latent Kronecker Structure Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, José Miguel Hernández-Lobato, Eytan Bakshy

ICML 2024 Accelerating Look-Ahead in Bayesian Optimization: Multilevel Monte Carlo Is All You Need Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin Thomas Carlberg, Neil Walton, Kody J. H. Law

ICML 2024 Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong, Jiayue Wan, Raul Astudillo, Sam Daulton, Maximilian Balandat, Peter I. Frazier

ICML 2024 Joint Composite Latent Space Bayesian Optimization Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat, Eytan Bakshy

NeurIPS 2024 Robust Gaussian Processes via Relevance Pursuit Sebastian Ament, Elizabeth Santorella, David Eriksson, Ben Letham, Maximilian Balandat, Eytan Bakshy

NeurIPSW 2024 Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, Eytan Bakshy

AISTATS 2023 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-Based Embeddings Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson

ICML 2023 Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information Sam Daulton, Maximilian Balandat, Eytan Bakshy

NeurIPS 2023 Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

NeurIPS 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A Osborne, Eytan Bakshy

UAI 2022 Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

ICML 2022 Robust Multi-Objective Bayesian Optimization Under Input Noise Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy

NeurIPS 2021 Bayesian Optimization with High-Dimensional Outputs Wesley J Maddox, Maximilian Balandat, Andrew G Wilson, Eytan Bakshy

ICMLW 2021 Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed A Aly, Ganesh Venkatesh, Maximilian Balandat

NeurIPS 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs Raul Astudillo, Daniel Jiang, Maximilian Balandat, Eytan Bakshy, Peter Frazier

NeurIPS 2021 Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement Samuel Daulton, Maximilian Balandat, Eytan Bakshy

NeurIPS 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat, Brian Karrer, Daniel Jiang, Samuel Daulton, Ben Letham, Andrew G Wilson, Eytan Bakshy

NeurIPS 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Samuel Daulton, Maximilian Balandat, Eytan Bakshy

NeurIPS 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang, Daniel Jiang, Maximilian Balandat, Brian Karrer, Jacob Gardner, Roman Garnett

NeurIPS 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games Maximilian Balandat, Walid Krichene, Claire Tomlin, Alexandre Bayen

ICML 2015 The Hedge Algorithm on a Continuum Walid Krichene, Maximilian Balandat, Claire Tomlin, Alexandre Bayen