Maximilian Balandat
21 papers · 2015–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)
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Cross-Pollinator
(13)
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Conference Polyglot
(5)
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Dynamic Duo
(15)
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Mega-Team
(21)
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Deep Specialist
(12)
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(20)
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(59)
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(6)
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Trend Setter
Conferences
NIPS (10)
ICML (7)
ACL (1)
AISTATS (1)
AUTOML (1)
UAI (1)
Top co-authors
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
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
Ax: A Platform for Adaptive Experimentation
AUTOML 2025
Scalable Gaussian Processes with Latent Kronecker Structure
ICML 2025
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
Joint Composite Latent Space Bayesian Optimization
ICML 2024
Unexpected Improvements to Expected Improvement for Bayesian Optimization
NIPS 2023
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
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
NIPS 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Multi-objective Bayesian optimization over high-dimensional search spaces
UAI 2022
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
NIPS 2021
Bayesian Optimization with High-Dimensional Outputs
NIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
NIPS 2021
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
NIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
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