Matthias W Seeger
5 papers · 2016–2021 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Trend Setter
Conferences
NIPS (4)
ICML (1)
Top co-authors
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
NIPS 2019
Scalable Hyperparameter Transfer Learning
NIPS 2018
Deep State Space Models for Time Series Forecasting
NIPS 2018
Bayesian Intermittent Demand Forecasting for Large Inventories
NIPS 2016