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Maximilian Balandat

20 papers · 2015–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (5) 🀝 Dynamic Duo (15) πŸ‘₯ Mega-Team (21) πŸ”¬ Deep Specialist (12) πŸ’Ž Century Club (20) πŸ—ƒοΈ Keyword Collector (59) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter

Conferences

NIPS (10) ICML (7) AISTATS (1) AUTOML (1) UAI (1)

Top co-authors

Eytan Bakshy (15) Samuel Daulton (8) David Eriksson (7) Sebastian Ament (5) Daniel Jiang (3) Brian Karrer (2) Andrew G Wilson (2) Claire Tomlin (2) Sam Daulton (2) Alexandre Bayen (2)

Keywords

bayesian optimization (13) acquisition function (6) gaussian process (5) multi-objective optimization (5) expected improvement (3) sample efficiency (3) online learning (2) surrogate model (2) hypervolume improvement (2) expected hypervolume improvement (2) parallel optimization (2) dual averaging (2) numerical optimization (1) embedding learning (1) uncertainty quantification (1) gradient-based optimization (1) robust regression (1) adversarial learning (1) hyperparameter optimization (1) discrete optimization (1)

Papers

Ax: A Platform for Adaptive Experimentation AUTOML 2025
Scalable Gaussian Processes with Latent Kronecker Structure ICML 2025
Joint Composite Latent Space Bayesian Optimization ICML 2024
Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need ICML 2024
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023
Unexpected Improvements to Expected Improvement for Bayesian Optimization NIPS 2023
Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NIPS 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement NIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NIPS 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NIPS 2016
The Hedge Algorithm on a Continuum ICML 2015