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j7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYing-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson, Zhandong Liu: XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Systems Biology 10(S-3): 69 (2016)
c68Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon: Optimal Classification with Multivariate Losses. ICML 2016: 1530-1538
c67Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit S. Dhillon: A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery. ICML 2016: 2272-2280
c66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon: Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies. ICML 2016: 2445-2453
c65Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon: PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. ICML 2016: 3069-3077
c64Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Xiangru Huang, Kai Zhong, Ruohan Zhang, Pradeep Ravikumar, Inderjit S. Dhillon: Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain. NIPS 2016: 5024-5032
i14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRashish Tandon, Si Si, Pradeep Ravikumar, Inderjit S. Dhillon: Kernel Ridge Regression via Partitioning. CoRR abs/1608.01976 (2016)
i13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar: Online Classification with Complex Metrics. CoRR abs/1610.07116 (2016)
2015
c63Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher: Sparsistency of 1-Regularized M-Estimators. AISTATS 2015
c62Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar: Vector-Space Markov Random Fields via Exponential Families. ICML 2015: 684-692
c61Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAdarsh Prasad, Harsh H. Pareek, Pradeep Ravikumar: Distributional Rank Aggregation, and an Axiomatic Analysis. ICML 2015: 2104-2112
c60Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon: A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models. ICML 2015: 2418-2426
c59Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Aurelie C. Lozano, Pradeep Ravikumar: Closed-form Estimators for High-dimensional Generalized Linear Models. NIPS 2015: 586-594
c58Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTianyang Li, Adarsh Prasad, Pradeep Ravikumar: Fast Classification Rates for High-dimensional Gaussian Generative Models. NIPS 2015: 1054-1062
c57Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNikhil Rao, Hsiang-Fu Yu, Pradeep Ravikumar, Inderjit S. Dhillon: Collaborative Filtering with Graph Information: Consistency and Scalable Methods. NIPS 2015: 2107-2115
c56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLVidyashankar Sivakumar, Arindam Banerjee, Pradeep Ravikumar: Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs. NIPS 2015: 2206-2214
c55Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon: Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent. NIPS 2015: 2368-2376
c54Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon: Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial. NIPS 2015: 3213-3221
c53Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLOluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon: Consistent Multilabel Classification. NIPS 2015: 3321-3329
c52Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXinnian Zheng, Pradeep Ravikumar, Lizy K. John, Andreas Gerstlauer: Learning-based analytical cross-platform performance prediction. SAMOS 2015: 52-59
c51no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTianyang Li, Harsh H. Pareek, Pradeep Ravikumar, Dhruv Balwada, Kevin Speer: Tracking with ranked signals. UAI 2015: 474-483
i12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon: Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics. CoRR abs/1505.01802 (2015)
i11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSuriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh: Exponential Family Matrix Completion under Structural Constraints. CoRR abs/1509.04397 (2015)
2014
j6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar: QUIC: quadratic approximation for sparse inverse covariance estimation. Journal of Machine Learning Research 15(1): 2911-2947 (2014)
c50Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu: Mixed Graphical Models via Exponential Families. AISTATS 2014: 1042-1050
c49Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Aurelie C. Lozano, Pradeep Ravikumar: Elementary Estimators for High-Dimensional Linear Regression. ICML 2014: 388-396
c48Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Aurelie C. Lozano, Pradeep Ravikumar: Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. ICML 2014: 397-405
c47Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRashish Tandon, Pradeep Ravikumar: Learning Graphs with a Few Hubs. ICML 2014: 602-610
c46Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon: Admixture of Poisson MRFs: A Topic Model with Word Dependencies. ICML 2014: 683-691
c45Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSuriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh: Exponential Family Matrix Completion under Structural Constraints. ICML 2014: 1917-1925
c44Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHarsh H. Pareek, Pradeep Ravikumar: A Representation Theory for Ranking Functions. NIPS 2014: 361-369
c43Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon: Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings. NIPS 2014: 1008-1016
c42Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Stephen Becker, Peder A. Olsen: QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models. NIPS 2014: 2006-2014
c41Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Aurelie C. Lozano, Pradeep Ravikumar: Elementary Estimators for Graphical Models. NIPS 2014: 2159-2167
c40Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRashish Tandon, Karthikeyan Shanmugam, Pradeep Ravikumar, Alexandros G. Dimakis: On the Information Theoretic Limits of Learning Ising Models. NIPS 2014: 2303-2311
c39Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKai Zhong, Ian En-Hsu Yen, Inderjit S. Dhillon, Pradeep Ravikumar: Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators. NIPS 2014: 2375-2383
c38Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIan En-Hsu Yen, Ting-Wei Lin, Shou-De Lin, Pradeep Ravikumar, Inderjit S. Dhillon: Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space. NIPS 2014: 2456-2464
c37Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLOluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon: Consistent Binary Classification with Generalized Performance Metrics. NIPS 2014: 2744-2752
c36Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon: Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs. NIPS 2014: 3158-3166
i10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKarthikeyan Shanmugam, Rashish Tandon, Alexandros G. Dimakis, Pradeep Ravikumar: On the Information Theoretic Limits of Learning Ising Models. CoRR abs/1411.1434 (2014)
2013
j5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAli Jalali, Pradeep Ravikumar, Sujay Sanghavi: A Dirty Model for Multiple Sparse Regression. IEEE Trans. Information Theory 59(12): 7947-7968 (2013)
c35Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHarsh H. Pareek, Pradeep Ravikumar: Human Boosting. ICML (1) 2013: 338-346
c34Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Ambuj Tewari, Pradeep Ravikumar: On Robust Estimation of High Dimensional Generalized Linear Models. IJCAI 2013: 1834-1840
c33Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRashish Tandon, Pradeep Ravikumar: On the difficulty of learning power law graphical models. ISIT 2013: 2493-2497
c32Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHuahua Wang, Arindam Banerjee, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon: Large Scale Distributed Sparse Precision Estimation. NIPS 2013: 584-592
c31Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Pradeep Ravikumar: Dirty Statistical Models. NIPS 2013: 611-619
c30Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu: Conditional Random Fields via Univariate Exponential Families. NIPS 2013: 683-691
c29Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari: Learning with Noisy Labels. NIPS 2013: 1196-1204
c28Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu: On Poisson Graphical Models. NIPS 2013: 1718-1726
c27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar, Russell A. Poldrack: BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables. NIPS 2013: 3165-3173
i9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar: Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation. CoRR abs/1306.3212 (2013)
2012
j4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar, Martin J. Wainwright: Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization. IEEE Trans. Information Theory 58(5): 3235-3249 (2012)
c26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLInderjit S. Dhillon, Cho-Jui Hsieh, Mátyás A. Sustik, Pradeep Ravikumar: Sparse inverse covariance matrix estimation using quadratic approximation. MLSLP 2012
c25Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu: Graphical Models via Generalized Linear Models. NIPS 2012: 1367-1375
c24Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Arindam Banerjee: A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation. NIPS 2012: 2339-2347
c23Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher C. Johnson, Ali Jalali, Pradeep Ravikumar: High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods. AISTATS 2012: 574-582
c22Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Ambuj Tewari, Pradeep Ravikumar: Perturbation based Large Margin Approach for Ranking. AISTATS 2012: 1358-1366
i8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, John D. Lafferty: Variational Chernoff Bounds for Graphical Models .CoRR abs/1207.4172 (2012)
i7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, William W. Cohen: A Hierarchical Graphical Model for Record Linkage .CoRR abs/1207.4180 (2012)
2011
c21no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEunho Yang, Pradeep Ravikumar: On the Use of Variational Inference for Learning Discrete Graphical Model. ICML 2011: 1009-1016
c20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAmbuj Tewari, Pradeep Ravikumar, Inderjit S. Dhillon: Greedy Algorithms for Structurally Constrained High Dimensional Problems. NIPS 2011: 882-890
c19Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAli Jalali, Christopher C. Johnson, Pradeep Ravikumar: On Learning Discrete Graphical Models using Greedy Methods. NIPS 2011: 1935-1943
c18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLInderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari: Nearest Neighbor based Greedy Coordinate Descent. NIPS 2011: 2160-2168
c17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar: Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation. NIPS 2011: 2330-2338
c16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAli Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi: On Learning Discrete Graphical Models using Group-Sparse Regularization. AISTATS 2011: 378-387
c15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, Ambuj Tewari, Eunho Yang: On NDCG Consistency of Listwise Ranking Methods. AISTATS 2011: 618-626
i6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAli Jalali, Pradeep Ravikumar, Sujay Sanghavi: A Dirty Model for Multiple Sparse Regression .CoRR abs/1106.5826 (2011)
i5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAli Jalali, Christopher C. Johnson, Pradeep Ravikumar: On Learning Discrete Graphical Models Using Greedy Methods .CoRR abs/1107.3258 (2011)
i4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher C. Johnson, Ali Jalali, Pradeep Ravikumar: High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods .CoRR abs/1112.6411 (2011)
2010
j3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright: Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes. Journal of Machine Learning Research 11: 1043-1080 (2010)
c14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAli Jalali, Pradeep Ravikumar, Sujay Sanghavi, Chao Ruan: A Dirty Model for Multi-task Learning. NIPS 2010: 964-972
i3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar, Martin J. Wainwright: Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. CoRR abs/1009.0571 (2010)
i2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu: A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers .CoRR abs/1010.2731 (2010)
2009
c13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlina Beygelzimer, John Langford, Pradeep Ravikumar: Error-Correcting Tournaments. ALT 2009: 247-262
c12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar, Martin J. Wainwright: Information-theoretic lower bounds on the oracle complexity of convex optimization. NIPS 2009: 1-9
c11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSahand Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu: A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers. NIPS 2009: 1348-1356
i1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlina Beygelzimer, John Langford, Pradeep Ravikumar: Error-Correcting Tournaments .CoRR abs/0902.3176 (2009)
2008
j2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar: Approximate inference, structure learning and feature estimation in Markov random fields: thesis abstract. SIGKDD Explorations 10(2): 32-33 (2008)
c10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright: Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes. ICML 2008: 800-807
c9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, Garvesh Raskutti, Martin J. Wainwright, Bin Yu: Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of l1-regularized MLE. NIPS 2008: 1329-1336
c8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick N. Kay, Jack L. Gallant: Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images. NIPS 2008: 1337-1344
2007
c7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, Han Liu, John D. Lafferty, Larry A. Wasserman: SpAM: Sparse Additive Models. NIPS 2007: 1201-1208
2006
c6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, John D. Lafferty: Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. ICML 2006: 737-744
c5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMartin J. Wainwright, Pradeep Ravikumar, John D. Lafferty: High-Dimensional Graphical Model Selection Using ℓ1-Regularized Logistic Regression. NIPS 2006: 1465-1472
2005
c4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, John D. Lafferty: Preconditioner Approximations for Probabilistic Graphical Models. NIPS 2005: 1113-1120
2004
c3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, William W. Cohen: A Hierarchical Graphical Model for Record Linkage. UAI 2004: 454-461
c2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPradeep Ravikumar, John D. Lafferty: Variational Chernoff Bounds for Graphical Models. UAI 2004: 462-469
2003
j1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg: Adaptive Name Matching in Information Integration. IEEE Intelligent Systems 18(5): 16-23 (2003)
c1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWilliam W. Cohen, Pradeep Ravikumar, Stephen E. Fienberg: A Comparison of String Distance Metrics for Name-Matching Tasks. IIWeb 2003: 73-78

Coauthor Index

1Alekh Agarwal[j4] [j3] [i3] [c12] [c10]
2Genevera I. Allen[j7] [c50] [c30] [c28] [c25]
3Matthew Anderson[j7]
4Yulia Baker[j7] [c50]
5Dhruv Balwada[c51]
6Arindam Banerjee[c56] [c32] [c24]
7Peter L. Bartlett[j4] [i3] [c12]
8Stephen Becker[c42]
9Alina Beygelzimer[c13] [i1]
10Mikhail Bilenko[j1]
11Volkan Cevher[c63]
12William W. Cohen[i7] [c3] [j1] [c1]
13Inderjit S. Dhillon[c68] [c67] [c66] [c65] [c64] [i14] [c60] [c57] [c55] [c54] [c53] [i12] [j6] [c46] [c43] [c42] [c39] [c38] [c37] [c36] [c32] [c29] [c27] [i9] [c26] [c24] [c20] [c18] [c17]
14Alexandros G. Dimakis[c40] [i10]
15Stephen E. Fienberg[j1] [c1]
16Jack L. Gallant[c8]
17Andreas Gerstlauer[c52]
18Joydeep Ghosh[i11] [c45]
19Suriya Gunasekar[i11] [c45]
20Cho-Jui Hsieh[c55] [j6] [c43] [c42] [c32] [c27] [i9] [c26] [c24] [c17]
21Xiangru Huang[c65] [c64]
22David I. Inouye[c66] [c54] [c46] [c36]
23Ali Jalali[j5] [c23] [c19] [c16] [i6] [i5] [i4] [c14]
24Lizy Kurian John
Lizy K. John
[c52]
25Christopher C. Johnson[c23] [c19] [i5] [i4]
26Kendrick N. Kay[c8]
27Oluwasanmi Koyejo[c68] [i13] [c53] [i12] [c37]
28John D. Lafferty[i8] [c7] [c6] [c5] [c4] [c2]
29John Langford[c13] [i1]
30Tianyang Li[c58] [c51]
31Yen-Huan Li[c63]
32Shou-De Lin[c38]
33Ting-Wei Lin[c38]
34Xin Lin[c67] [c60]
35Han Liu[c7]
36Zhandong Liu[j7] [c50] [c30] [c28] [c25]
37Aurelie C. Lozano[c59] [c49] [c48] [c41]
38Raymond J. Mooney[j1]
39Thomas Naselaris[c8]
40Nagarajan Natarajan[c68] [c53] [i12] [c37] [c29]
41Sahand Negahban[i2] [c11]
42Peder A. Olsen[c42]
43Oscar Hernan Madrid Padilla[c62]
44Harsh H. Pareek[c61] [c51] [c44] [c35]
45Russell A. Poldrack[c27]
46Adarsh Prasad[c61] [c58]
47Nikhil Rao[c57]
48Garvesh Raskutti[c9]
49Chao Ruan[c14]
50Sujay Sanghavi[j5] [c16] [i6] [c14]
51Jonathan Scarlett[c63]
52Karthikeyan Shanmugam[c40] [i10]
53Si Si[i14]
54Vidyashankar Sivakumar[c56]
55Kevin Speer[c51]
56Arun Sai Suggala[c62]
57Mátyás A. Sustik[j6] [c27] [i9] [c26] [c17]
58Rashish Tandon[i14] [c47] [c40] [i10] [c33]
59Wesley Tansey[c62]
60Ambuj Tewari[c34] [c29] [c22] [c20] [c18] [c15]
61Vishvas Vasuki[c16]
62Vincent Q. Vu[c8]
63Martin J. Wainwright[j4] [j3] [i3] [i2] [c12] [c11] [c10] [c9] [c5]
64Ying-Wooi Wan[j7]
65Huahua Wang[c32]
66Larry A. Wasserman[c7]
67Bowei Yan[i13]
68Eunho Yang[j7] [c59] [c50] [c49] [c48] [c41] [c34] [c31] [c30] [c28] [c25] [c22] [c21] [c15]
69Ian En-Hsu Yen[c67] [c65] [c64] [c60] [c55] [c43] [c39] [c38]
70Bin Yu 0001[i2] [c11] [c9] [c8]
71Hsiang-Fu Yu[c57]
72Jiong Zhang[c67]
73Ruohan Zhang[c64]
74Xinnian Zheng[c52]
75Kai Zhong[c65] [c64] [i13] [c60] [c55] [c39]

 

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