# Publications

(Please also see the WUSTL Machine Learning Publications Repository for an extensive list of ML papers worldwide.)

**Key:****Brent****Chen****Cunningham****Gill****Lin****Naegle****Pless****Raman****Swamidas****Weinberger****Zhang**

(This list is notoriously incomplete.)

**2015**

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen Association for the Advancement of Artificial Intelligence (AAAI), 2015. (In press...)

Z. Chen, M. Chen, K. Weinberger and W. Zhang, Marginalized denoising for link prediction and multi-label learning, AAAI-15, to appear.

D. Jin, Z. Chen, D. He and W. Zhang, Modeling with node degree preservation can accurately find communities, AAAI-15, to appear.

D. He, D. Liu, D. Jin and W. Zhang, A stochastic model for the detection of heterogeneous link communities in complex networks, AAAI-15, to appear.

**2014**

W. Chen, Y. Chen, K. Weinberger, Fast Flux Discriminant for Large-Scale Sparse Nonlinear Classification, Proc. ACM SIGKDD Conference (KDD-14), 2014. Best Student Paper Runner-up Award.

M. Kusner, W. Chen, Q. Zhou, Z. Xu, K. Weinberger, and Y. Chen, Feature-Cost Sensitive Learning with Submodular Trees of Classifiers, Proc. AAAI Conference on Artificial Intelligence (AAAI-14), 2014.

Y. Fu, M. Sha, C. Wu, A. Kutta, C. Lu, H. Gonzalez, A. Leavey, W. Wang, B. Drake, Y. Chen, P. Biswas, Thermal Modeling for a HVAC Controlled Real-life Auditorium, Proc. International Conference on Distributed Computing Systems (ICDCS-14), 2014.

S. Hossain, A. Ali, M. Rahman, E. Ertin, D. Epstein, A. Kennedy, K. Preston, A. Umbricht, Y. Chen, and S. Kumar, Identifying Drug (Cocaine) Intake Events from Acute Physiological Response in the Presence of Free-living Physical Activity, Proc. The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN-14), 2014.

C. Wu, M. Sha, D. Gunatilaka, A. Saifullah, C. Lu, Y. Chen, J. Liu, X. Wang, Analysis of EDF Scheduling for Wireless Sensor-Actuator Networks, Proc. IEEE/ACM International Symposium on Quality of Service (IWQoS-14), 2014.

A. Saifullah, Y. Xu, C. Lu, and Y. Chen, End-to-End Communication Delay Analysis in Industrial Wireless Networks, IEEE Transactions on Computers, accepted, 2014.

A. Saifullah, Y. Xu, C. Lu, and Y. Chen, Distributed Channel Allocation Protocols for Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, in press, 2014.

G. Zou, Q. Lu, Y. Chen, R. Huang, Y. Xu, and Y. Xiang, QoS-Aware Dynamic Composition of Web Services using Numerical Temporal Planning, IEEE Transactions on Services Computing, in press, 2014.

A. Saifullah, C. Wu, P. Tiwari, Y. Xu, Y. Fu, C. Lu, and Y. Chen, Near Optimal Rate Selection for Wireless Control Systems, IEEE Transactions on Embedded Computing Systems, accepted, 2014. (Extension of our RTAS-12 paper.)

Q. Lu, Y. Chen, J. Wilson, L. Thomas, C. Gill, G-C. Roman, G. Chen, Situation-Aware Composition and Execution in Dynamic Environments by Automated Planning, Engineering Applications of Artificial Intelligence, 35:215-236, 2014.

Stochastic Neighbor Compression Matt Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal. International Conference on Machine Learning (ICML), Beijing China. JMLR W&CP 32 (1) :622-630, 2014

Bayesian Optimization with Inequality Constraints. Jacob Gardner, Matt Kusner, Zhixiang (Eddie) Xu, Kilian Q. Weinberger, John Cunningham International Conference on Machine Learning (ICML), Beijing China. JMLR W&CP 32 (1) :937-945, 2014.

Marginalized Denoising Auto-encoders for Nonlinear Representations Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio. International Conference on Machine Learning (ICML), Beijing China. JMLR W&CP 32 (1) :1476-1484, 2014.

Feature-Cost Sensitive Learning with Submodular Trees of Classifiers Matt Kusner, Wenlin Chen, Quan Zhou, Eddie Xu and Kilian Weinberger Proc. AAAI Conference on Artificial Intelligence (AAAI-14), 2014. (in press ...)

Budgeted Learning with Trees and Cascades Zhixiang Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle Journal of Machine Learning Research (JMLR), 15(Jun):2113−2144, 2014.

Gradient Boosted Feature Selection. Zhixiang (Eddie) Xu, Gao Huang, Kilian Q.Weinberger, Alice Zheng To appear in 20th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD), 2014, (in press ...).

Fast Flux Discriminant for Large-Scale Sparse Nonlinear Classification W. Chen, Y. Chen, K. Weinberger Proc. ACM SIGKDD Conference (KDD), 2014. (in press ...) [Winner of best student paper runner up award.]

Transductive Minimax Probability Machine Gao Huang, Shiji Song, Zhixiang (Eddie) Xu, Kilian Q. Weinberger European Conference on Machine Learning (ECML) 2014 (In press ...)

Physicochemical signatures of nanoparticle-dependent complement activation. Dennis G Thomas, Satish Chikkagoudar, Alejandro Heredia-Langner, Mark F Tardiff, Zhixiang Xu, Dennis E Hourcade, Christine T N Pham, Gregory M Lanza, Kilian Q Weinberger and Nathan A Baker Computational Science & Discovery 7 (1), 015003

**2013**

Wang, G., **Lin, N.** and Zhang, B. (2013), Dimension reduction in functional regression using mixed data canonical correlation analysis, *Statistics and Its Interface*, 6, 187-196.

Wang, G., **Lin, N.** and Zhang, B. (2013), Functional contour regression, *Journal of Multivariate Analysis*, 116, 1-13.

Q. Lu, W. Chen, Y. Chen, K. Weinberger, and X. Chen, Utilizing Landmarks in Euclidean Heuristics for Optimal Planning, Late-Breaking Track, Proc. AAAI Conference on Artificial Intelligence (AAAI-13), 2013.

W. Chen, Y. Chen, K. Weinberger, Q. Lu, and X. Chen, Goal-Oriented Euclidean Heuristics with Manifold Learning, Proc. AAAI Conference on Artificial Intelligence (AAAI-13), 2013.

W.X. Cheng, P. Du, J. Guo, X. Zhu, and Y. Chen, Ranking on Data Manifold with Sink Points, IEEE Transactions on Knowledge and Data Engineering, 25(1):177-191, 2013.

Minmin Chen, Alice Zheng, Kilian Q. Weinberger. Fast Image Tagging. Proceedings of 30th International Conference on Machine Learning (ICML), Atlanta, GA (in press).

Zhixiang (Eddie) Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger. Anytime Representation Learning. Proceedings of 30th International Conference on Machine Learning (ICML), Atlanta, GA (in press).

Zheng Chen and Weixiong Zhang, Domain adaptation with topical correspondence learning, Proceedings of 23rd Intern. Joint Conf. on Artificial Intelligence (IJCAI-13), Aug. 3-9, 2013, Beijing, China (to appear).

Zhixiang (Eddie) Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen. Cost Sensitive Trees of Classifiers. Proceedings of 30th International Conference on Machine Learning (ICML), Atlanta, GA, 2013 (in press).

Wenlin Chen, Kilian Q. Weinberger, and Yixin Chen. Maximum Variance Correction with Application to A* Search. Proceedings of 30th International Conference on Machine Learning (ICML), Atlanta, GA, 2013 (in press).

Elad Gilboa, Yunus Saatci, John P. Cunningham. Scaling Multidimensional Inference for Structured Gaussian Processes. Proceedings of 30th International Conference on Machine Learning (ICML), Atlanta, GA, 2013 (in press).

Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger. Learning with Marginalized Corrupted Features. Proceedings of 30th International Conference on Machine Learning (ICML), Atlanta, GA, 2013 (in press).

**2012**

Ji, Y., **Lin, N.** and Zhang, B. (2012), Model selection in binary and tobit quantile regression using the Gibbs sampler, *Computational Statistics and Data Analysis*, 56, 827-839.

Wang, G., **Lin, N.** and Zhang, B. (2012), Functional linear regression after spline transformation, *Computational Statistics and Data Analysis*, 56, 587-601.

Churchland MM*, Cuningham JP* (contributing equally), Kaufman MT, Foster JD, Nuyujukian P, Ryu SI, Shenoy KV. (2012). Neural population dynamics during reaching. Nature. In Press.

Minmin Chen, Zhixiang (Eddie) Xu, Kilian Q. Weinberger, Fei Sha. Marginalized Stacked Denoising Autoencoders for Domain Adaptation. Proceedings of 29th International Conference on Machine Learning (ICML), Edingburgh Scotland, Omnipress, pages 767-774, 2012.

Cunningham JP, Rasmussen CE, Ghahramani Z (2012). Gaussian Processes for time-marked time-series data. JMLR W+CP. 22: 255-263.

Laurens J.P. van der Maaten and Kilian Q. Weinberger. Stochastic Triplet Embedding. To appear in Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing.

Q. Lu, R. Huang, Y. Chen, Y. Xu, W. Zhang, G. Chen, A SAT-based Approach to Cost Sensitive Temporally Expressive Planning, ACM Transactions on Intelligent Systems and Technology, accepted, 2012.

Minmin Chen, Zhixiang (Eddie) Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem. Classifier Cascade: Tradeoff between Accuracy and Feature Evaluation Cost. Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR Workshop and Conference Proceedings 22: AISTATS 2012, pages 218-226, MIT Press.

Zhao M, Batista AP, Cunningham JP, Chestek CA, Rivera-Alvidrez Z, Kalmar R, Ryu SI, Shenoy KV, Iyengar S (2012). An L1-regularized logistic model for detecting short-term neuronal interactions. J Computational Neuroscience. 32(3):479-97. PMID: 22038503

Zhixiang (Eddie) Xu, Kilian Q. Weinberger, Olivier Chapelle. The Greedy Miser: Learning under Test-time Budgets. Proceedings of 29th International Conference on Machine Learning (ICML), Edinburgh Scotland, Omnipress, pages 1175--1182, 2012.

G. Zou, Y. Chen, Y. Xu, R. Huang, and Y. Xiang, Towards Automated Choreographing of Web Services using Planning, Proc. AAAI Conference on Artificial Intelligence (AAAI-12), 2012.

Macke JH, Busing L, Cunningham JP, Yu BM, Shenoy KV, Sahani M (2012). Empirical models of spiking in neural populations. Advances in Neural Information Processing Systems (NIPS) 24, MIT Press, Cambridge, MA.

Petreska B, Yu BM, Cunningham JP, Santhanam G, Ryu SI, Shenoy KV, Sahani M (2012). Dynamical Segmentation of single trials from population neural data. Advances in Neural Information Processing Systems (NIPS) 24, MIT Press, Cambridge, MA.

Zhixiang (Eddie) Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha. From sBoW to dCoT: Marginalized Encoders for Text Representation. Proc. of 21st ACM Conf. of Information and Knowledge Management (CIKM), Hawaii, 2012 (In press.)

C. Dai, L. Chen, Y. Chen, and K. Tang, An Efficient Algorithm for Top-k Queries on Uncertain Data Streams, Proc. International Conference on Machine Learning and Applications (ICMLA-12), 2012.

Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert Lanckriet. Nonlinear metric learning. In Proceedings of Advances in Neural Information Processing Systems 25 (NIPS-25), (in press.)

Skyler Cranmer and Jeff Gill. “We Have to Be Discrete About This: A Non-Parametric Imputation Technique for Missing Categorical Data.” British Journal of Political Science , Forthcoming (2012).

R. Huang, Y. Chen and W. Zhang, SAS+ planning as Satisfiability, J. Artificial Intelligence Research, 43:293-328, 2012. AAAI 2010 Outstanding Paper Award.

**2011**

**Lin, N.** and Xi, R. (2011), Aggregated estimating equation estimation, *Statistics and Its Interface*, 4, 73-84.

Minmin Chen, Kilian Q. Weinberger, and John C. Blitzer. Co-training for domain adaptation. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors, Advances in Neural Information Processing Systems 24 (NIPS-24), pages 2456–2464. 2011.

Haynes, B. C., Skowyra, M. L., Spencer, S. J., Gish, S. R., Williams, M., Held, E. P., Brent, M. R., et al. (2011). Toward an Integrated Model of Capsule Regulation in Cryptococcus neoformans. PLoS pathogens, 7(12), e1002411. doi:10.1371/journal.ppat.1002411

R. Xi, N. Lin, Y. Chen, and Y. Kim, Compression and Aggregation of Bayesian Estimates for Data Intensive Computing, Knowledge and Information Systems, accepted, 2011.

Chestek CA, Gilja V, Nuyujukian P, Foster JD, Fan JM, Kaufman MT, Churchland MM, Rivera-Alvidrez Z, Cunningham JP, Ryu SI, Shenoy KV (2011) Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex. Journal of Neural Engineering. 8:045005. PMID: 21775782

Naegle KM, Welsch RE, Yaffe MB, White FM, Lauffenburger DA. MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets. PLoS Computational Biology. 2011, Jul;7(7).

L. Chen, B. Chen, and Y. Chen, Image Feature Selection Based on Ant Colony Optimization, Proc. 24th Australasian Joint Conference on Artificial Intelligence (AI-11), 2011.

Cunningham JP, Nuyujukian P, Gilja V, Chestek CA, Ryu SI, Shenoy KV (2011) A closed-loop human simulator for investigating the role of feedback-control in brain-machine interfaces. Journal of Neurophysiology. 105:1932-1949. PMID: 20943945

Minmin Chen, Kilian Q. Weinberger, Yixin Chen. Automatic Feature Decomposition for Single View Co-training. Proceedings of the 28th International Conference on Machine Learning (ICML-11), pages 953--960, ACM, Bellevue, USA, 2011.

Minjung Kyung, Jeff Gill and George Casella. “New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups.” Journal of the Royal Statistical Society, Series C , 60:5, 701-271 (2011).

Anirudh Ramachandran, Anirban Dasgupta, Nick Feamster and Kilian Q. Weinberger. Spam or Ham? Characterizing and Detecting Fraudulent “Not Spam” Reports in Web Mail Systems. Eighth Conference on Email and Anti-Spam (CEAS-11) (To appear.)

Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin. Parallel Boosted Regression Trees for Web Search Ranking. Proceedings of the 20th international conference on World Wide Web (WWW-11), pages 387-396, ACM, New York, USA, 2011.

Ananth Mohan, Zheng Chen, Kilian Q. Weinberger. Web-Search Ranking with Initialized Gradient Boosted Regression Trees. Journal of Machine Learning Research, Workshop and Conference Proceedings 14, Yahoo! Learning to Rank Challenge, pages 77-89, MIT Press, 2011.

Olivier Chapelle, Pannagadatta Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle Tseng. Multi-Task Learning for Boosting with Application to Web Search Ranking. Machine Learning Journal, ISSN 0885-6125, pages 1-25, Springer Verlag, 2011.

Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha. Rapid Feature Learning with Stacked Linear Denoisers. arXiv:1105.0972, 2011 (Technical report, not peer-reviewed.) Presented at ICML 2011 Workshop on Unsupervised and Transfer Learning.

**2010**

Li, Q., Xi, R. and **Lin, N.** (2010), Bayesian regularized quantile regression, *Bayesian Analysis*, 5,533-556.

Li, Q. and **Lin, N.** (2010), The Bayesian elastic net, *Bayesian Analysis*, 5,151-170.

**Lin, N.** and Xi, R. (2010), Fast surrogates of U-statistics, *Computational Statistics and Data Analysis*, 54, 16-24.

Naegle KM, Gymrek M, Joughin BA, Wagner JP, Welsch RE, Yaffe MB, Lauffenburger DA, White FM. PTMScout, a Web resource for analysis of high throughput post-translational proteomics studies. Molecular and Cellular Proteomics. Nov; 9(11):2558-2570, 2010.

G. Jaeger and W. Zhang, Phase transitions of and an efficient algorithm for the directed Hamiltonian cycle problem, J. Artificial Intelligence Research, 39:663-87, 2010.

R. Huang, Y. Chen and W. Zhang, A novel transition based encoding scheme for planning as Satisfiability, Proc. 24th AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, Georgia, USA, July 11-15, 2010; Winner of the Outstanding Paper Award of AAAI-10.

G. Jaeger and W. Zhang, A SAT based effective algorithm for the directed Hamiltonian cycle problem, Proc. of CSR-2010, 216-27.

Churchland MM, Cunningham JP, Kaufman MT, Ryu SI, Shenoy KV (2010) Cortical preparatory activity: Representation of movement or first cog in a dynamical machine? Neuron. 68:387-400. PMID: 21040842

Kuttykrishnan, S., Sabina, J., Langton, L. L., Johnston, M., & Brent, M. R. (2010). A quantitative model of glucose signaling in yeast reveals an incoherent feed forward loop leading to a specific, transient pulse of transcription. Proc. Natl. Acad. Sci., 107(38), 16743–16748. doi:10.1073/pnas.0912483107

Shibin Parameswaran and Kilian Q. Weinberger. Large Margin Multi-Task Metric Learning. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R.S. Zemel, and A. Culotta (eds.), Advances in Neural Information Processing Systems 23 (NIPS-23), pages 1867-1875, 2010.

Churchland MM*, Yu BM*, Cunningham JP, Sugrue LP, Cohen MR, Corrado GS, Newsome WT, Clark AM, Hosseini P, Scott BB, Bradley DC, Smith MA, Kohn A, Movshon JA, Armstrong KM, Moore T, Chang SW, Snyder LH, Lisberger SG, Priebe NJ, Finn IM, Ferster D, Ryu SI, Santhanam G, Sahani M, Shenoy KV (2010) Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nature Neuroscience. 13:369-378. PMID: 20173745

T. Schiller, Y. Chen, I. El Naqa, and J. Deasy, Modeling Radiation-Induced Lung Injury Risk with an Ensemble of Support Vector Machines, 73(10):1861-1867, Neurocomputing, 2010.

O. Chapelle, S. Vadrevu, K. Q. Weinberger, P. Shivaswamy, Y. Zhang, B. Tseng. Multi-Task Learning for Boosting with Application to Web Search Ranking, KDD 2010. Proceedings of the 16th international conference on Knowledge discovery and data mining (SIGKDD): 1189-1198 ACM.

R. Huang, Y. Chen, and W. Zhang, A Novel Transition Based Encoding Scheme for Planning as Satisfiability, Proc. AAAI Conference on Artificial Intelligence (AAAI-10), Best Paper Award, 2010.

Minjung Kyung, Jeff Gill and George Casella. “Estimation in Dirichlet Random Effects Models.” Annals of Statistics, 38, 979-1009 (2010).

K. Q. Weinberger, F. Sha, and L. K. Saul. Convex optimizations for distance metric learning and pattern classification. IEEE Signal Processing Magazine 27(3): 146-158, 2010.

B. Bai, J. Weston, D. Grangier, R. Collobert, K. Sadamasa, Y. Qi, O. Chapelle, K. Q. Weinberger. Learning to Rank with (a Lot of) Word Features. Journal of Information Retrieval. Special Issue on Learning to Rank for Information Retrieval 13(3): 291-314. Springer Verlag, 2010.

Temporally diverse firing patterns in olfactory receptor neurons underlie spatio-temporal neural codes for odors. B. Raman, J. Joseph, J. Tang, and M. Stopfer. The Journal of Neuroscience , Vol. 30, no. 6, pp. 1994-2006, February 2010

Yuzong Liu, Mohit Sharma, Charles M. Gaona, Jonathan D. Breshears, Jarod Roland, Zachary V. Freudenburg, Kilian Q. Weinberger, and Eric C. Leuthardt. Decoding Ipsilateral Finger Movements from ECoG Signals in Humans. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R.S. Zemel, and A. Culotta (eds.), Advances in Neural Information Processing Systems 23 (NIPS-23), pages 1468-1476, 2010. [Attention! Results in Figure 3 could not be reproduced and should be considered invalid. We apologize for this mishap. All other results are not affected. ]

**2009**

Liu, T., **Lin, N.**, Shi, N. and Zhang, B. (2009), Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments, *BMC Bioinformatics*, 10: 146.

Xi, R., **Lin, N.** and Chen, Y. (2009), Compression and aggregation for logistic regression analysis in data cubes, *IEEE Transactions on Knowledge and Data Engineering*, 21(4), 479-492.

B. Bai, J. Weston, D. Grangier, R. Collobert, O. Chapelle, K. Q. Weinberger. Supervised Semantic Indexing. The 18th ACM Conference on Information and Knowledge Management (CIKM), 2009.

A Survey of Manifold Learning for Images. Robert Pless, Richard Souvenir. IPSJ Transactions on Computer Vision and Applications, vol. 1 pp. 83-94, 2009.

J. Attenberg, K. Q. Weinberger, A. Smola, A. Dasgupta, M. Zinkevich Collaborative Spam Filtering with the Hashing Trick. Virus Bulletin (VB) 2009.

Haynes, B. C., & Brent, M. R. (2009). Benchmarking regulatory network reconstruction with GRENDEL. Bioinformatics (Oxford, England), 25(6), 801–807. doi:10.1093/bioinformatics/btp068

K. Q. Weinberger, L. K. Saul. Distance Metric Learning for Large Margin Nearest Neighbor Classification. Journal of Machine Learning Research (JMLR) 2009, 10:207-244

Y. Chen, R. Huang, Z. Xing and W. Zhang, Long-distance mutual exclusion for planning, Artificial Intelligence, 173:365-91, 2009.

R. Huang, Y. Chen and W. Zhang, An optimal temporally expressive planner: Initial results and application to P2P network optimization, Proc. 19th Intern. Conf. on Automated Planning and Scheduling (ICAPS-09), Thessaloniki, Greece, Sept. 19-23, 2009.

J. Attenberg, K. Q. Weinberger, A. Smola, A. Dasgupta, M. Zinkevich, Collaborative Email-Spam Filtering with the Hashing-Trick. Sixth Conference on Email and Anti-Spam (CEAS) 2009

Frequency transitions in odor-evoked neural oscillations. I. Ito, M. Bazhenov, C. R. Ong, B. Raman, and M. Stopfer. Neuron , Vol. 64, pp. 692-706, December 2009

E. Hörster, M. Slaney, M. Ranzato, K. Q. Weinberger (2009). Unsupervised Image Ranking. ACM Workshop on Web-Scale Multimedia Corpus (WSMC 2009), Beijing, China, October 2009

K. Q. Weinberger, A. Dasgupta, J. Langford, A. Smola, J. Attenberg. Feature Hashing for Large Scale Multitask Learning. In Proceedings of the Twenty Sixth International Confernence on Machine Learning (ICML-09), Canada.

Minjung Kyung, Jeff Gill and George Casella. “Characterizing the Variance Improvement in Linear Dirichlet Random Effects Models.” Statistics and Probability Letters, 79, 2343- 2350, (2009).

Jeff Gill and George Casella. “Nonparametric Priors For Ordinal Bayesian Social Science Models: Specification and Estimation.” Journal of the American Statistical Associ- ation, 104, 453-464 (June 2009).

L. Kennedy, M. Slaney, K. Q. Weinberger (2009). Reliable Tags Using Image Similarity: Mining Specificity and Expertise from Large-Scale Multimedia Databases. ACM Workshop on Web-Scale Multimedia Corpus (WSMC 2009), Beijing, China, October 2009