2期

最新文章

• Kiho Park, Yo Joong Choe, and Yibo Jiang's contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' by Whiteley et al. AI翻译
  作者：Park, Kiho; Choe, Yo Joong; Jiang, Yibo
  作者单位：University of Chicago; INSEAD Business School; University of Chicago
• Professor Garib Nath Singh's contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' by Nick Whiteley et al. AI翻译
  作者：Singh, Garib Nath
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (Indian School of Mines) Dhanbad
• Dr Arun Chind's contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' by Whiteley et al. AI翻译
  作者：Chind, Arun Peter
• Alexander Modell's contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' by Whiteley et al. AI翻译
  作者：Modell, Alexander
  作者单位：Imperial College London
• Masaaki Imaizumi's contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' by Whiteley et al. AI翻译
  作者：Imaizumi, Masaaki
  作者单位：University of Tokyo
• Martin Schlather and Milan Stehlík's contribution to the Discussion of 'Statistical exploration of the manifold hypothesis' by N. Whiteley et al. AI翻译
  作者：Schlather, Martin; Stehlik, Milan
  作者单位：University of Mannheim; Universidad de Valparaiso
• Junhyung Chang and Xiaoyu Lei's contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' by Whiteley et al. AI翻译
  作者：Chang, Junhyung; Lei, Xiaoyu
  作者单位：University of Wisconsin System; University of Wisconsin Madison
• Additive-Effect Assisted Learning AI翻译
  作者：Zhang, Jiawei; Yang, Yuhong; Ding, Jie
  作者单位：University of Kentucky; University of Minnesota System; University of Minnesota Twin Cities
  摘要：It is quite popular nowadays for researchers and data analysts holding different datasets to seek assistance from each other to enhance their modelling performance. We consider a scenario where different learners hold datasets with potentially distinct variables, and their observations can be aligned by a nonprivate identifier. Their collaboration faces the following difficulties: first, learners may need to keep data values or even variable names undisclosed due to, e.g. commercial interest o...
• Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of 'Statistical exploration of the Manifold Hypothesis' AI翻译
  作者：Wang, Tengyao
  作者单位：University of London; London School Economics & Political Science
• Bayesian analysis of product feature allocation models AI翻译
  作者：Ghilotti, Lorenzo; Camerlenghi, Federico; Rigon, Tommaso
  作者单位：University of Milano-Bicocca
  摘要：Feature allocation models are an extension of Bayesian nonparametric clustering models, where individuals can share multiple features. We study a broad class of models whose probability distribution has a product form, which includes the popular Indian buffet process. This class plays a prominent role among existing priors, and it shares structural characteristics with Gibbs-type priors in the species sampling framework. We develop a general theory for the entire class, obtaining closed form e...