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Model Selection for Production System via Automated Online Experiments


May 27, 2021
Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke

* NeurIPS 2020 

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Making Differentiable Architecture Search less local


Apr 21, 2021
Erik Bodin, Federico Tomasi, Zhenwen Dai

* ICLR 2021 Workshop on Neural Architecture Search 

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The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies


Oct 28, 2020
Jörg Lücke, Dennis Forster, Zhenwen Dai


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Black-box density function estimation using recursive partitioning


Oct 26, 2020
Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek


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ProSper -- A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions


Aug 01, 2019
Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke


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Meta-Surrogate Benchmarking for Hyperparameter Optimization


May 30, 2019
Aaron Klein, Zhenwen Dai, Frank Hutter, Neil Lawrence, Javier Gonzalez


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Variational Information Distillation for Knowledge Transfer


Apr 11, 2019
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai

* To appear at CVPR 2019 

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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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Truncated Variational Sampling for "Black Box" Optimization of Generative Models


Feb 22, 2018
Jörg Lücke, Zhenwen Dai, Georgios Exarchakis


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Intrinsic Gaussian processes on complex constrained domains


Jan 03, 2018
Mu Niu, Pokman Cheung, Lizhen Lin, Zhenwen Dai, Neil Lawrence, David Dunson


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Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes


May 27, 2017
Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence


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Preferential Bayesian Optimization


Apr 12, 2017
Javier Gonzalez, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence

* 10 pages, 6 figures 

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Spatio-temporal Gaussian processes modeling of dynamical systems in systems biology


Oct 17, 2016
Mu Niu, Zhenwen Dai, Neil Lawrence, Kolja Becker


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GP-select: Accelerating EM using adaptive subspace preselection


Jul 17, 2016
Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Joerg Luecke, Arthur Gretton


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Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model


Jun 30, 2016
Fariba Yousefi, Zhenwen Dai, Carl Henrik Ek, Neil Lawrence

* ICLR 2016 Workshop 

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Variational Auto-encoded Deep Gaussian Processes


Feb 29, 2016
Zhenwen Dai, Andreas Damianou, Javier González, Neil Lawrence


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Recurrent Gaussian Processes


Feb 24, 2016
César Lincoln C. Mattos, Zhenwen Dai, Andreas Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence

* Published as a conference paper at ICLR 2016. 12 pages, 3 figures 

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Batch Bayesian Optimization via Local Penalization


Oct 15, 2015
Javier González, Zhenwen Dai, Philipp Hennig, Neil D. Lawrence

* 11 pages, 10 figures 

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Spike and Slab Gaussian Process Latent Variable Models


May 10, 2015
Zhenwen Dai, James Hensman, Neil Lawrence


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Gaussian Process Models with Parallelization and GPU acceleration


Oct 18, 2014
Zhenwen Dai, Andreas Damianou, James Hensman, Neil Lawrence


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Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach


Jul 02, 2012
Zhenwen Dai, Jörg Lücke

* oral presentation and Google Student Travel Award; IEEE conference on Computer Vision and Pattern Recognition 2012 

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