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Publication search results
found 45 matches
- 2023
- Mu Niu, Zhenwen Dai, Pokman Cheung, Yizhu Wang:
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics. CoRR abs/2301.06533 (2023) - 2022
- Federico Tomasi, Mounia Lalmas, Zhenwen Dai:
Efficient inference for dynamic topic modeling with large vocabularies. UAI 2022: 1950-1959 - 2021
- Erik Bodin, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek:
Black-box density function estimation using recursive partitioning. ICML 2021: 1015-1025 - Erik Bodin, Federico Tomasi, Zhenwen Dai:
Making Differentiable Architecture Search less local. CoRR abs/2104.10450 (2021) - Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke:
Model Selection for Production System via Automated Online Experiments. CoRR abs/2105.13420 (2021) - 2020
- Bei Wang, Zhichao Li, Zhenwen Dai, Neil D. Lawrence, Xuefeng Yan
:
Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes. IEEE Trans. Ind. Informatics 16(6): 3651-3661 (2020) - Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek:
Modulating Surrogates for Bayesian Optimization. ICML 2020: 970-979 - Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin A. Carterette, Mounia Lalmas:
Model Selection for Production System via Automated Online Experiments. NeurIPS 2020 - Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai:
Stochastic Variational Inference for Dynamic Correlated Topic Models. UAI 2020: 859-868 - Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek:
Black-box density function estimation using recursive partitioning. CoRR abs/2010.13632 (2020) - Jörg Lücke, Dennis Forster, Zhenwen Dai:
The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies. CoRR abs/2010.14860 (2020) - 2019
- Bei Wang, Zhichao Li, Zhenwen Dai, Neil D. Lawrence, Xuefeng Yan
:
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant. Appl. Soft Comput. 82 (2019) - Abdul-Saboor Sheikh, Nicol S. Harper
, Jakob Drefs, Yosef Singer
, Zhenwen Dai, Richard E. Turner, Jörg Lücke
:
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLoS Comput. Biol. 15(1) (2019) - Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. CVPR 2019: 9163-9171 - Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier Gonzalez:
Meta-Surrogate Benchmarking for Hyperparameter Optimization. NeurIPS 2019: 6267-6277 - Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. CoRR abs/1904.05835 (2019) - Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier Gonzalez:
Meta-Surrogate Benchmarking for Hyperparameter Optimization. CoRR abs/1905.12982 (2019) - Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke:
ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. CoRR abs/1908.06843 (2019) - 2018
- Jörg Lücke, Zhenwen Dai, Georgios Exarchakis:
Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. LVA/ICA 2018: 467-478 - Xiaoyu Lu, Javier Gonzalez, Zhenwen Dai, Neil D. Lawrence:
Structured Variationally Auto-encoded Optimization. ICML 2018: 3273-3281 - Mu Niu, Pokman Cheung, Lizhen Lin, Zhenwen Dai, Neil D. Lawrence, David B. Dunson:
Intrinsic Gaussian processes on complex constrained domains. CoRR abs/1801.01061 (2018) - 2017
- Zhenwen Dai, Mudassar Iqbal
, Neil D. Lawrence, Magnus Rattray
:
Efficient inference for sparse latent variable models of transcriptional regulation. Bioinform. 33(23): 3776-3783 (2017) - Jacquelyn A. Shelton, Jan Gasthaus, Zhenwen Dai, Jörg Lücke, Arthur Gretton
:
GP-Select: Accelerating EM Using Adaptive Subspace Preselection. Neural Comput. 29(8): 2177-2202 (2017) - Javier González, Zhenwen Dai, Andreas C. Damianou, Neil D. Lawrence:
Preferential Bayesian Optimization. ICML 2017: 1282-1291 - Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence:
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. NIPS 2017: 5131-5139 - Zhenwen Dai, Mauricio A. Álvarez
, Neil D. Lawrence:
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. CoRR abs/1705.09862 (2017) - Matthias W. Seeger, Asmus Hetzel, Zhenwen Dai, Neil D. Lawrence:
Auto-Differentiating Linear Algebra. CoRR abs/1710.08717 (2017) - 2016
- José A. Rodríguez-Serrano, Diane Larlus, Zhenwen Dai:
Data-Driven Detection of Prominent Objects. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 1969-1982 (2016) - Javier González, Zhenwen Dai, Philipp Hennig, Neil D. Lawrence:
Batch Bayesian Optimization via Local Penalization. AISTATS 2016: 648-657 - Zhenwen Dai, Andreas C. Damianou, Javier González, Neil D. Lawrence:
Variational Auto-encoded Deep Gaussian Processes. ICLR (Poster) 2016
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retrieved on 2023-02-09 04:04 CET from data curated by the dblp team
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