BibSLEIGH — Eric_P

Travelled to:

1 × China
1 × Finland
1 × Germany
1 × Israel
13 × USA
2 × Australia
2 × Canada
2 × France
2 × United Kingdom

Collaborated with:

J.Zhu M.Kolar A.Ahmed M.I.Jordan L.Song A.P.Parikh A.F.T.Martins N.A.Smith C.Faloutsos Y.Yu G.Kim Y.Liu B.Zhang A.Dubey N.Chen N.Lao W.Fu Z.Hu S.Kim W.W.Cohen S.Shringarpure F.Guo P.Xie X.Zheng M.A.T.Figueiredo P.M.Q.Aguiar Q.Ho Y.Deng H.Zhang S.Williamson H.Liu M.T.Bahadori J.Yin X.Chen F.Li B.Zhao X.Yin J.Eisenstein H.Kamisetty C.J.Langmead J.G.Carbonell R.Sharan R.M.Karp X.Chang Y.Yang J.Yao B.Cui R.Ranganath C.Wang D.M.Blei R.F.Murphy R.Nallapati L.Li S.Hanneke Z.Guo Z.Zhang K.Sohn Y.W.Teh M.Ishteva H.Park J.Pan A.G.R.Balan A.J.M.Traina W.Dai J.K.Kim J.Wei S.Lee A.Kumar

Talks about:

model (15) topic (8) margin (7) structur (6) network (6) markov (6) learn (6) data (6) process (5) infer (5)

Person: Eric P. Xing

DBLP: Xing:Eric_P=

Contributed to:

2015

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2001

Wrote 44 papers:

ICML-2015-ChangYXY #detection #semantics #using: Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM (XC, YY, EPX, YY), pp. 1348–1357.
ICML-2015-HuHDX #distributed #parametricity #scalability: Large-scale Distributed Dependent Nonparametric Trees (ZH, QH, AD, EPX), pp. 1651–1659.
KDD-2015-XieDX #documentation #modelling #strict: Diversifying Restricted Boltzmann Machine for Document Modeling (PX, YD, EPX), pp. 1315–1324.
KDD-2015-XingHDKWLZXKY #big data #distributed #framework #machine learning #named #platform: Petuum: A New Platform for Distributed Machine Learning on Big Data (EPX, QH, WD, JKK, JW, SL, XZ, PX, AK, YY), pp. 1335–1344.
KDD-2015-ZhangKX #contest #image #modelling #monitoring #online #topic: Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data (HZ, GK, EPX), pp. 1425–1434.
KDD-2015-ZhengYX #composition #linear #modelling #topic #using: Linear Time Samplers for Supervised Topic Models using Compositional Proposals (XZ, YY, EPX), pp. 1523–1532.
SIGMOD-2015-HuYCX #community: Community Level Diffusion Extraction (ZH, JY, BC, EPX), pp. 1555–1569.
ICML-c1-2013-WilliamsonDX #markov #modelling #monte carlo #parallel #parametricity: Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models (SW, AD, EPX), pp. 98–106.
ICML-c2-2013-RanganathWBX #adaptation #learning #probability: An Adaptive Learning Rate for Stochastic Variational Inference (RR, CW, DMB, EPX), pp. 298–306.
ICML-c3-2013-KolarLX #estimation #markov #multi #network: Markov Network Estimation From Multi-attribute Data (MK, HL, EPX), pp. 73–81.
ICML-c3-2013-SongIPXP #composition #modelling #visual notation: Hierarchical Tensor Decomposition of Latent Tree Graphical Models (LS, MI, APP, EPX, HP), pp. 334–342.
KDD-2013-BahadoriLX #learning #performance #probability #process: Fast structure learning in generalized stochastic processes with latent factors (MTB, YL, EPX), pp. 284–292.
ICML-2012-KolarX #consistency: Consistent Covariance Selection From Data With Missing Values (MK, EPX), p. 85.
ICML-2012-YinCX #modelling: Group Sparse Additive Models (JY, XC, EPX), p. 214.
KDD-2012-KimLX #image #multi #predict #process #using #web: Web image prediction using multivariate point processes (GK, FFL, EPX), pp. 1068–1076.
CIKM-2011-ZhaoYX #independence #information management #learning #web: Max margin learning on domain-independent web information extraction (BZ, XY, EPX), pp. 1305–1310.
ICML-2011-EisensteinAX #generative #modelling: Sparse Additive Generative Models of Text (JE, AA, EPX), pp. 1041–1048.
ICML-2011-KamisettyXL #approximate #correlation #using: Approximating Correlated Equilibria using Relaxations on the Marginal Polytope (HK, EPX, CJL), pp. 1153–1160.
ICML-2011-MartinsFASX #approach: An Augmented Lagrangian Approach to Constrained MAP Inference (AFTM, MATF, PMQA, NAS, EPX), pp. 169–176.
ICML-2011-ParikhSX #algorithm #modelling #visual notation: A Spectral Algorithm for Latent Tree Graphical Models (APP, LS, EPX), pp. 1065–1072.
ICML-2011-ZhuCX #infinity #kernel #process: Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines (JZ, NC, EPX), pp. 617–624.
KDD-2011-ZhuLCX #performance #topic: Conditional topical coding: an efficient topic model conditioned on rich features (JZ, NL, NC, EPX), pp. 475–483.
ICML-2010-KimX #multi: Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity (SK, EPX), pp. 543–550.
ICML-2010-KolarPX #on the #parametricity: On Sparse Nonparametric Conditional Covariance Selection (MK, APP, EPX), pp. 559–566.
ICML-2010-ZhuX #random #topic: Conditional Topic Random Fields (JZ, EPX), pp. 1239–1246.
KDD-2010-ZhuLX #feature model #incremental #learning #markov #named #performance #random: Grafting-light: fast, incremental feature selection and structure learning of Markov random fields (JZ, NL, EPX), pp. 303–312.
ICML-2009-FuSX #evolution #network: Dynamic mixed membership blockmodel for evolving networks (WF, LS, EPX), pp. 329–336.
ICML-2009-MartinsSX #approximate #natural language #parsing: Polyhedral outer approximations with application to natural language parsing (AFTM, NAS, EPX), pp. 713–720.
ICML-2009-ZhuAX #classification #modelling #named #topic: MedLDA: maximum margin supervised topic models for regression and classification (JZ, AA, EPX), pp. 1257–1264.
ICML-2009-ZhuX #markov #network #on the: On primal and dual sparsity of Markov networks (JZ, EPX), pp. 1265–1272.
KDD-2009-AhmedXCM #biology #mining #modelling #topic: Structured correspondence topic models for mining captioned figures in biological literature (AA, EPX, WWC, RFM), pp. 39–48.
KDD-2009-ZhuXZ #markov #network: Primal sparse Max-margin Markov networks (JZ, EPX, BZ), pp. 1047–1056.
ICML-2008-MartinsFASX #kernel: Nonextensive entropic kernels (AFTM, MATF, PMQA, NAS, EPX), pp. 640–647.
ICML-2008-ShringarpureX #named #search-based: mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations (SS, EPX), pp. 952–959.
ICML-2008-ZhuXZ #markov #network: Laplace maximum margin Markov networks (JZ, EPX, BZ), pp. 1256–1263.
KDD-2008-NallapatiAXC #modelling #topic: Joint latent topic models for text and citations (RN, AA, EPX, WWC), pp. 542–550.
VLDB-2008-GuoLFX #database #multi #named #query: C-DEM: a multi-modal query system for Drosophila Embryo databases (FG, LL, CF, EPX), pp. 1508–1511.
ICML-2007-GuoHFX #approach #modelling #network: Recovering temporally rewiring networks: a model-based approach (FG, SH, WF, EPX), pp. 321–328.
KDD-2007-GuoZXF #data mining #database #learning #mining #multimodal: Enhanced max margin learning on multimodal data mining in a multimedia database (ZG, ZZ, EPX, CF), pp. 340–349.
ICML-2006-XingSJT #multi #process #type inference: Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture (EPX, KAS, MIJ, YWT), pp. 1049–1056.
KDD-2006-PanGBXTF #automation #image #mining: Automatic mining of fruit fly embryo images (JYP, AGRB, EPX, AJMT, CF), pp. 693–698.
ICML-2005-LiuXC #graph #predict #using: Predicting protein folds with structural repeats using a chain graph model (YL, EPX, JGC), pp. 513–520.
ICML-2004-XingSJ #process #type inference: Bayesian haplo-type inference via the dirichlet process (EPX, RS, MIJ).
ICML-2001-XingJK #array #feature model: Feature selection for high-dimensional genomic microarray data (EPX, MIJ, RMK), pp. 601–608.