Eytan Bakshy
24 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (6)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Dynamic Duo
(15)
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Mega-Team
(21)
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Deep Specialist
(17)
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Trend Setter
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(75)
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Century Club
(24)
π₯
Unstoppable
(7)
Conferences
NIPS (11)
AISTATS (5)
ICML (4)
UAI (2)
AUTOML (1)
JMLR (1)
Top co-authors
Keywords
bayesian optimization
(18)
acquisition function
(8)
gaussian process
(8)
multi-objective optimization
(5)
sample efficiency
(3)
surrogate model
(3)
expected hypervolume improvement
(2)
uncertainty quantification
(2)
expected improvement
(2)
multi-task learning
(2)
hyperparameter optimization
(2)
black-box function
(2)
decision theory
(2)
hypervolume improvement
(2)
policy search
(2)
parallel optimization
(2)
hyperparameter tuning
(2)
numerical optimization
(1)
preference learning
(1)
black-box optimization
(1)
Papers
Scalable Gaussian Processes with Latent Kronecker Structure
ICML 2025
Ax: A Platform for Adaptive Experimentation
AUTOML 2025
Robust Gaussian Processes via Relevance Pursuit
NIPS 2024
Joint Composite Latent Space Bayesian Optimization
ICML 2024
Response Time Improves Gaussian Process Models for Perception and Preferences
UAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
NIPS 2024
Sparse Bayesian optimization
AISTATS 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
AISTATS 2023
Unexpected Improvements to Expected Improvement for Bayesian Optimization
NIPS 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
ICML 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
AISTATS 2023
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes
AISTATS 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
NIPS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
AISTATS 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Multi-objective Bayesian optimization over high-dimensional search spaces
UAI 2022
Bayesian Optimization with High-Dimensional Outputs
NIPS 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
NIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
NIPS 2021
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
NIPS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
NIPS 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
NIPS 2020
Bayesian Optimization for Policy Search via Online-Offline Experimentation
JMLR 2019