Frequent inactivation of p16 and p15 expression in human esophageal squamous cell carcinoma detected by RT-PCR

Lian-Hua Jiao , Li-Dong Wang , Eric-Poe Xing , Guang-Yu Yang Yang
World Journal of Gastroenterology 4 ( 2) 134 -134

5
1998
Large Scale Distributed Multiclass Logistic Regression

Eric P. Xing , Pengtao Xie , Jin Kyu Kim

2
2014
Multi-modal distance metric learning

Eric P. Xing , Pengtao Xie
international joint conference on artificial intelligence 1806 -1812

62
2013
The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling

Eric P. Xing , Willie Neiswanger , Frank D. Wood
international conference on artificial intelligence and statistics 33 660 -668

23
2014
Supervised probabilistic robust embedding with sparse noise

Eric P. Xing , Dit-Yan Yeung , Yu Zhang
national conference on artificial intelligence 2 1226 -1232

1
2012
Consistent Covariance Selection From Data With Missing Values

Eric P. Xing , Mladen Kolar
international conference on machine learning 551 -558

17
2012
AD 3 : alternating directions dual decomposition for MAP inference in graphical models

Eric P. Xing , André F. T. Martins , Mário A. T. Figueiredo , Pedro M. Q. Aguiar
Journal of Machine Learning Research 16 ( 1) 495 -545

43
2015
235
2008
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks

Eric P. Xing , Le Song , Qirong Ho
international conference on artificial intelligence and statistics 15 342 -350

63
2011
Parallel Markov chain Monte Carlo for Pitman-Yor mixture models

Eric P. Xing , Avinava Dubey , Sinead A. Williamson
uncertainty in artificial intelligence 142 -151

9
2014
Modeling citation networks using Latent random offsets

Eric P. Xing , Willie Neiswanger , Qirong Ho , Chong Wang
uncertainty in artificial intelligence 633 -642

7
2014
Harmonium Models for Semantic Video Representation and Classification.

Eric P. Xing , Alexander G. Hauptmann , Yan Liu , Jun Yang
siam international conference on data mining 378 -389

32
2007
On Sparse Nonparametric Conditional Covariance Selection

Eric P. Xing , Ankur P. Parikh , Mladen Kolar
international conference on machine learning 559 -566

38
2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach

Eric P. Xing , Mladen Kolar
international conference on artificial intelligence and statistics 9 413 -420

4
2010
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso Manuscript

Eric P. Xing , Jaime G. Carbonell , Qihang Lin , Seyoung Kim
arXiv: Machine Learning

97
2010
Fast Function to Function Regression

Barnabás Póczos , Eric P. Xing , Hy Trac , Shirley Ho
international conference on artificial intelligence and statistics 38 717 -725

17
2015
Exploiting bounded staleness to speed up big data analytics

Gregory R. Ganger , Eric P. Xing , Jinliang Wei , Seunghak Lee
usenix annual technical conference 37 -48

111
2014
Infinite Latent SVM for Classification and Multi-task Learning

Eric P. Xing , Ning Chen , Jun Zhu
neural information processing systems 24 1620 -1628

44
2011
Minimizing Nonconvex Non-Separable Functions

Micol Marchetti-Bowick , Eric P. Xing , Yaoliang Yu , Xun Zheng
international conference on artificial intelligence and statistics 1107 -1115

14
2015