Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Zhenwen Dai

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 

  Access Paper or Ask Questions

Making Differentiable Architecture Search less local

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

* ICLR 2021 Workshop on Neural Architecture Search 

  Access Paper or Ask Questions

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

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

  Access Paper or Ask Questions

Black-box density function estimation using recursive partitioning

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

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

Meta-Surrogate Benchmarking for Hyperparameter Optimization

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Auto-Differentiating Linear Algebra

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

  Access Paper or Ask Questions

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

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

  Access Paper or Ask Questions

Intrinsic Gaussian processes on complex constrained domains

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

  Access Paper or Ask Questions

Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes

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

  Access Paper or Ask Questions

Preferential Bayesian Optimization

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

* 10 pages, 6 figures 

  Access Paper or Ask Questions

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

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

  Access Paper or Ask Questions

GP-select: Accelerating EM using adaptive subspace preselection

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Variational Auto-encoded Deep Gaussian Processes

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Batch Bayesian Optimization via Local Penalization

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

* 11 pages, 10 figures 

  Access Paper or Ask Questions

Spike and Slab Gaussian Process Latent Variable Models

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

  Access Paper or Ask Questions

Gaussian Process Models with Parallelization and GPU acceleration

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions