• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

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

skipping 15 more matches