Sebastian Ament
6 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Application Areas
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Core Methods
(1)
Learning Types
(1)
Methods
(1)
Techniques
(1)
Keywords
bayesian optimization
(3)
gaussian process
(2)
surrogate model
(2)
robust regression
(1)
black-box optimization
(1)
bayesian inference
(1)
gaussian processes
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
embedding learning
(1)
numerical optimization
(1)
expected improvement
(1)
outlier robustness
(1)
sequential optimization
(1)
kronecker product
(1)
hyperparameter tuning
(1)
acquisition function
(1)
state-of-the-art performance
(1)
relevance pursuit
(1)
large dataset
(1)
Papers
Ax: A Platform for Adaptive Experimentation
AutoML 2025
Scalable Gaussian Processes with Latent Kronecker Structure
ICML 2025
Robust Gaussian Processes via Relevance Pursuit
NeurIPS 2024
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
AISTATS 2023
Unexpected Improvements to Expected Improvement for Bayesian Optimization
NeurIPS 2023
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
ICML 2020