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Matthias Seeger

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Ecole Polytechnique Federale de Lausanne

Model-based Asynchronous Hyperparameter Optimization

Mar 24, 2020
Louis C. Tiao, Aaron Klein, Cedric Archambeau, Matthias Seeger

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Cost-aware Bayesian Optimization

Mar 22, 2020
Eric Hans Lee, Valerio Perrone, Cedric Archambeau, Matthias Seeger

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LEEP: A New Measure to Evaluate Transferability of Learned Representations

Feb 27, 2020
Cuong V. Nguyen, Tal Hassner, Cedric Archambeau, Matthias Seeger

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Constrained Bayesian Optimization with Max-Value Entropy Search

Oct 15, 2019
Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cedric Archambeau, Matthias Seeger

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Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning

Sep 27, 2019
Valerio Perrone, Huibin Shen, Matthias Seeger, Cedric Archambeau, Rodolphe Jenatton

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Auto-Differentiating Linear Algebra

Oct 31, 2018
Matthias Seeger, Asmus Hetzel, Zhenwen Dai, Eric Meissner, Neil D. Lawrence

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Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start

Dec 08, 2017
Valerio Perrone, Rodolphe Jenatton, Matthias Seeger, Cedric Archambeau

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Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale

Sep 22, 2017
Matthias Seeger, Syama Rangapuram, Yuyang Wang, David Salinas, Jan Gasthaus, Tim Januschowski, Valentin Flunkert

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Fast Dual Variational Inference for Non-Conjugate LGMs

Jun 05, 2013
Mohammad Emtiyaz Khan, Aleksandr Y. Aravkin, Michael P. Friedlander, Matthias Seeger

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Large Scale Variational Bayesian Inference for Structured Scale Mixture Models

Jun 27, 2012
Young Jun Ko, Matthias Seeger

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