Publications

Andrews, B., Trindade, A.A., and Zhu, Y. "Time series models with asymmetric Laplace innovations." Journal of Statistical Computation and Simulation 80 (2010): 1317-1333.

Andrews, B. and Davis, R.A. "Model identification for infinite variance autoregressive processes." Journal of Econometrics, Annals Issue: Latest Developments on Heavy-Tailed Distributions 172 (2013): 222-234. 

Arendt, Paul D., Apley, Daniel, and Chen, Wei. "Quantification of model uncertainty: Calibration, model discrepancy, and identifiability." Journal of Mechanical Design 134.10 (2012): 100908.

Awasthi, P., Blum, A., Sheffet, O., and Vijayaraghavan, A. "Learning mixtures of ranking models." Advances in Neural Information Processing Systems (2014): 2609-2617.

Babacan, S.D., Molina, R., Katsaggelos, A.K., "Bayesian compressive sensing using Laplace priors." Image Processing, IEEE Transactions (2010): 19 (1), 53-63.

Babacan, S.D., Luessi, M., Molina, R., Katsaggelos, A.K., "Sparse Bayesian methods for low-rank matrix estimation." Signal Processing, IEEE Transactions (2012): 60 (8), 3964-3977.

Bandi, Chaithanya and Bertsimas, Dimitris. "Robust Option Pricing." European Journal of Operational Research 239.3 (2014): 842-853.

Bandi, Chaithanya and Bertsimas, Dimitris. "Tractable stochastic analysis in high dimensions via robust optimization." Mathematical Programming (2012): 134(1): 23-70.

Bayraksan, Güzin, and Morton, David P. "A sequential sampling procedure for stochastic programming." Operations Research 59.4 (2011): 898-913.

Belotti, Pietro, et al. "Branching and bounds tightening techniques for non-convex MINLP." Optimization Methods & Software 24.4-5 (2009): 597-634.

Berry, R. "Network Market Design Part II: Spectrum Markets," IEEE Communications Magazine, 50.11 (2012): 84-90.

Bertsimas, D., Nohadani, O., and Teo, K.M., "Robust nonconvex optimization for simulation-based problems,” Operations Research, 58.1 (2010):161-178. 

J.R. Birge, F.X. Kärtner, and O. Nohadani Improving thin-film manufacturing yield with robust optimization Applied Optics. 2011;50(9):C36-C40. 

Byrd, Richard H., et al. "Sample size selection in optimization methods for machine learning." Mathematical programming 134.1 (2012): 127-155.

Byrd, Richard H., Jorge Nocedal, and Figen Oztoprak. "An inexact successive quadratic approximation method for convex l-1 regularized optimization." arXiv preprint arXiv:1309.3529 (2013).

X. Chen, B.E. Ankenman, and B.L. Nelson. "The effects of common random numbers on stochastic kriging metamodels." ACM Transactions on Modeling and Computer Simulation (TOMACS) 22.2 (2012): 7.

Cole, Wesley J., David P. Morton, and Thomas F. Edgar. "Optimal electricity rate structures for peak demand reduction using economic model predictive control." Journal of Process Control 24.8 (2014): 1311-1317.

Curtis, Frank E., Olaf Schenk, and Andreas Wächter. "An interior-point algorithm for large-scale nonlinear optimization with inexact step computations." SIAM Journal on Scientific Computing 32.6 (2010): 3447-3475.

De, Anindya. "Lower bounds in differential privacy." Theory of Cryptography. Springer Berlin Heidelberg (2012): 321-338.

De, A., Portmann, C., Vidick, T., and Renner, R. "Trevisan's extractor in the presence of quantum side information." SIAM Journal on Computing 41.4 (2012): 915-940.

Dmitrienko, A., Wiens, B. L., Tamhane, A. C., and Wang, X. "Tree-structured gatekeeping tests in clinical trials with hierarchically ordered multiple objectives." Statistics in Medicine 26.12 (2007): 2465.

Downey, Doug, Oren Etzioni, and Stephen Soderland. "Analysis of a probabilistic model of redundancy in unsupervised information extraction." Artificial Intelligence 174.11 (2010): 726-748.

Duan, Z., Pardo, B., Zhang, C., "Multiple fundamental frequency estimation by modeling spectral peaks and non-peak regions."  Audio, Speech, and Language Processing, IEEE Transactions 18.8 (2010): 2121-2133. 

Gonzalez, H., Han, J., Cheng, H., Li, X., and Klabjan, D.. "Modeling Massive RFID Datasets: A Gateway-Based Movement-Graph Approach." IEEE Transactions on Knowledge and Data Engineering 22 (2010): 90-104.

Hennig-Thurau, T., Malthouse, E., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., and Skiera, B., "The impact of new media on customer relationships." Journal of Service Research 13.3 (2010): 311-330.

Hou, T., Mahmassani, H., Alfelor, R., Kim, J., and Saberi, M. "Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation." Transportation Research Record: Journal of the Transportation Research Board 2391 (2013): 92-104.

J. Hu, Homem-de-Mello, T., and S. Mehrotra. "Sample average approximation of stochastic dominance constrained programs." Mathematical programming 133.1-2, 171-201.

Jiang, W. and Zhao, Y. "On Asymptotic Distributions and Confidence Intervals for LIFT Measures in Data Mining." Journal of the American Statistical Association 110.512, (2014): 2015.

Larivière, B., Keiningham, T., Cooil, B., Aksoy, L., and Malthouse, E. "A longitudinal examination of customer commitment and loyalty: the importance of identifying customer segments and using panel survey data." Journal of Service Management, 25.1 (2014): 75-100.

Lavin, A. Klabjan, D. "Clustering time-series energy data from smart meters.” Energy Efficiency 8.4 2014.

Li, C., Jiang, W., and Tanner, M. A. "General inequalities for Gibbs posterior with nonadditive empirical risk." Econometric Theory 30 (2014): 1247-1271.

Luo, Y., Uzuner, O., Szolovits, P., "Bridging Semantics and Syntax with Graph Algorithms - State-of-the-Art of Extracting Biomedical Relations" Briefings in Bioinformatics, to appear. 

Luo, Y., Szolovits, P., Dighe, A., Baron, J., "Using Machine Learning to Predict Laboratory Test Results." American Journal of Clinical Pathology, to appear. 

Makarychev, Konstantin, Makarychev, Yury, and Vijayaraghavan, Aravindan. "Correlation Clustering with Noisy." Proceedings of the 28th Annual Conference on Learning Theory (COLT) (2015): 1321-1342.

Rafii, Z., Pardo, B., "Repeating pattern extraction technique (REPET): A simple method for music/voice separation." Audio, Speech, and Language Processing, IEEE Transactions on 21.1 (2013): 73-84.

Ratinov, Lev, et al. "Local and global algorithms for disambiguation to wikipedia." Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1. Association for Computational Linguistics, 2011.

Shi, C., Berry, R., and Honig, M., "Bi-directional training for joint beamforming and power control in interference networks", IEEE Transactions on Signal Processing 62.3, 2014.

Shi, H.J.M., Xuan, M.Q., Oztoprak, F., and Nocedal, J., "Additional Numerical Results for: On the numerical performance of derivative-free optimization methods based on finite-difference approximations." OSL Technical Report no 2022-1, Center for Optimization and Statistical Learning, Northwestern University, 2022.

Sun, Yunpeng, Daniel W. Apley, and Jeremy Staum. "Efficient nested simulation for estimating the variance of a conditional expectation." Operations research 59.4 (2011): 998-1007.

Tamhane, A.C., "Statistical analysis of designed experiments: theory and applications." John Wiley & Sons, 2009.

Thomas, R., Paredes, C.J., Mehrotra, S., Hatzimanikatis, V., Papoutsakis, E.T., "A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data." BMC Bioinformatics 8.1, 228.

Wei, E., Ozdaglar, A., and Jadbabaie, A., Distributed, A., "Newton Method for Network Utility Maximization, II: Convergence."  IEEE Transactions on Automatic Control 58.9 (2013): 2176-2188.

Wei, E. and Ozdaglar, A., On the O(1/k) "Convergence of Asynchronous Distributed Alternating Direction Method of Multipliers."

Xie, W., Nelson, B.L., and Barton, R.R., "A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation." Operations Research 62.6 (2014): 1439-1452.

Zhou, X., Mahmassani, H.S., "A structural state space model for real-time traffic origin–destination demand estimation and prediction in a day-to-day learning framework." Transportation Research Part B: Methodological 41.8, 823-840.