Matthias W Seeger
5 papers · 2016–2021 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Learning Paradigms
(3)
Data Science & Analytics
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
transfer learning
(3)
bayesian optimization
(3)
hyperparameter optimization
(2)
deep learning
(1)
gaussian process
(1)
time series
(1)
density ratio estimation
(1)
time series forecasting
(1)
expected improvement
(1)
bayesian linear regression
(1)
probabilistic model
(1)
state space model
(1)
acquisition function
(1)
recurrent neural network
(1)
surrogate model
(1)
kalman smoothing
(1)
probabilistic forecasting
(1)
search space
(1)
demand forecasting
(1)
neural network
(1)
Papers
BORE: Bayesian Optimization by Density-Ratio Estimation
ICML 2021
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
NeurIPS 2019
Deep State Space Models for Time Series Forecasting
NeurIPS 2018
Scalable Hyperparameter Transfer Learning
NeurIPS 2018
Bayesian Intermittent Demand Forecasting for Large Inventories
NeurIPS 2016