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Kay Tye

Kay M. Tye

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Journal Articles

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2018
[j1]
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  dblp key:
  - journals/neco/ZhangMATB18
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  - https://dblp.org/rec/journals/neco/ZhangMATB18
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba:
Estimating a Separably Markov Random Field from Binary Observations. Neural Comput. 30(4) (2018)

Conference and Workshop Papers

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2019
[c2]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/aistats/LinZHATJB19
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Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba:
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. AISTATS 2019: 2476-2484
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  - conf/ner/BanerjeeATBT19
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Taposh Banerjee, Stephen A. Allsop, Kay M. Tye, Demba E. Ba, Vahid Tarokh:
Sequential Detection of Regime Changes in Neural Data. NER 2019: 139-142

Informal and Other Publications

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2018
[i2]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1810-09920
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Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba:
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. CoRR abs/1810.09920 (2018)
2017
[i1]
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  - journals/corr/abs-1709-09723
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  - https://dblp.org/rec/journals/corr/abs-1709-09723
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba:
Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations. CoRR abs/1709.09723 (2017)

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