BibSLEIGH — John_D

Travelled to:

1 × Australia
1 × Finland
1 × Germany
1 × Turkey
1 × United Kingdom
10 × USA
3 × Canada

Collaborated with:

C.Zhai X.Zhu G.Lebanon N.Mishra H.Hoffmann D.Shender H.Gu M.Xu K.Yu S.Zhu Y.Gong D.M.Blei P.D.Ravikumar R.Kondor A.L.Berger D.N.Rockmore S.Balakrishnan K.Puniyani Y.Liu Z.Ghahramani W.W.Cohen A.McCallum F.C.N.Pereira H.Zhang A.A.Kalaitzis N.D.Lawrence S.Zhou R.Nallapati S.Ditmore K.Ung A.Blum M.R.Rwebangira R.Reddy C.Imes H.Liu F.Han M.Yuan L.A.Wasserman

Talks about:

model (13) retriev (6) random (5) inform (5) languag (4) condit (4) learn (4) field (4) use (4) nonparametr (3)

Person: John D. Lafferty

DBLP: Lafferty:John_D=

Contributed to:

2015

2013

2012

2009

2007

2006

2005

2004

2003

2002

2001

1999

1997

2018

Wrote 28 papers:

ASPLOS-2015-MishraZLH #approach #constraints #energy #modelling #performance #probability #visual notation: A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints (NM, HZ, JDL, HH), pp. 267–281.
ICML-c3-2013-KalaitzisLLZ: The Bigraphical Lasso (AAK, JDL, NDL, SZ), pp. 1229–1237.
ICML-c3-2013-ShenderL #trade-off: Computation-Risk Tradeoffs for Covariance-Thresholded Regression (DS, JDL), pp. 756–764.
ICML-2012-BalakrishnanPL #functional #kernel: Sparse Additive Functional and Kernel CCA (SB, KP, JDL), p. 97.
ICML-2012-GuL #parametricity: Sequential Nonparametric Regression (HG, JDL), p. 54.
ICML-2012-LiuHYLW #modelling #visual notation: High Dimensional Semiparametric Gaussian Copula Graphical Models (HL, FH, MY, JDL, LAW), p. 225.
ICML-2012-XuL #multi: Conditional Sparse Coding and Grouped Multivariate Regression (MX, JDL), p. 116.
ICML-2009-YuLZG #collaboration #parametricity #predict #random #scalability #using: Large-scale collaborative prediction using a nonparametric random effects model (KY, JDL, SZ, YG), pp. 1185–1192.
SIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability: Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.
KDD-2007-NallapatiDLU #multi #topic: Multiscale topic tomography (RN, SD, JDL, KU), pp. 520–529.
ICML-2006-BleiL #modelling #topic: Dynamic topic models (DMB, JDL), pp. 113–120.
ICML-2006-RavikumarL #estimation #markov #metric #polynomial #programming #random: Quadratic programming relaxations for metric labeling and Markov random field MAP estimation (PDR, JDL), pp. 737–744.
ICML-2005-ZhuL #graph #induction #learning #modelling #scalability: Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning (XZ, JDL), pp. 1052–1059.
ICML-2004-BlumLRR #learning #random #using: Semi-supervised learning using randomized mincuts (AB, JDL, MRR, RR).
ICML-2004-LaffertyZL #clique #kernel #random #representation: Kernel conditional random fields: representation and clique selection (JDL, XZ, YL).
ICML-2004-LebanonL #classification #multi: Hyperplane margin classifiers on the multinomial manifold (GL, JDL).
ICML-2003-ZhuGL #learning #using: Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions (XZ, ZG, JDL), pp. 912–919.
SIGIR-2003-ZhaiCL #evaluation #independence #metric #retrieval #topic: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval (CZ, WWC, JDL), pp. 10–17.
ICML-2002-KondorL #graph #kernel: Diffusion Kernels on Graphs and Other Discrete Input Spaces (RK, JDL), pp. 315–322.
ICML-2002-LebanonL #modelling #named #permutation #probability #ranking #using: Cranking: Combining Rankings Using Conditional Probability Models on Permutations (GL, JDL), pp. 363–370.
SIGIR-2002-ZhaiL #information retrieval #modelling: Two-stage language models for information retrieval (CZ, JDL), pp. 49–56.
CIKM-2001-ZhaiL #approach #feedback #information retrieval #modelling: Model-based Feedback in the Language Modeling Approach to Information Retrieval (CZ, JDL), pp. 403–410.
ICML-2001-LaffertyMP #modelling #probability #random #sequence: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (JDL, AM, FCNP), pp. 282–289.
SIGIR-2001-LaffertyZ #documentation #information retrieval #modelling #query: Document Language Models, Query Models, and Risk Minimization for Information Retrieval (JDL, CZ), pp. 111–119.
SIGIR-2001-ZhaiL #ad hoc #case study #information retrieval #modelling: A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval (CZ, JDL), pp. 334–342.
SIGIR-1999-BergerL #information retrieval #statistics: Information Retrieval as Statistical Translation (ALB, JDL), pp. 222–229.
STOC-1997-LaffertyR: Spectral Techniques for Expander Codes (JDL, DNR), pp. 160–167.
ASPLOS-2018-MishraILH #energy #latency #learning #named #predict: CALOREE: Learning Control for Predictable Latency and Low Energy (NM, CI, JDL, HH), pp. 184–198.