Publications

Conference and Peer-Reviewed Workshop Publications

  • A. Shah, K. Ahuja, K. Shanmugam, D. Wei, K. R. Varshney, A. Dhurandhar, “Treatment Effect Estimation Using Invariant Risk Minimization,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 2021. [arXiv]

  • D. Wei, T. Gao, Y. Yu, "DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks," Conference on Neural Information Processing Systems (NeurIPS), December 2020. Spotlight presentation. [proceedings] [arXiv] [thumbnail]

  • D. Wei, “Optimal Policies for the Homogeneous Selective Labels Problem,” NeurIPS Workshop on Consequential Decision-Making in Dynamic Environments, Vancouver, Canada, December 2020. [arXiv]

  • S. Dutta, D. Wei, H. Yueksel, P.-Y. Chen, S. Liu, K. R. Varshney, "Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing," International Conference on Machine Learning (ICML), Vienna, Austria, July 2020. [proceedings] [arXiv]

  • M. Hind*, D. Wei*, Y. Zhang*, "Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness,” ICML Workshop on Human Interpretability in Machine Learning (WHI), Vienna, Austria, July 2020. [arXiv]

  • D. Wei, K. Natesan Ramamurthy, F. P. Calmon, “Optimized Score Transformation for Fair Classification,” International Conference on Artificial Intelligence and Statistics (AISTATS), Palermo, Italy, June 2020. [proceedings] [arXiv]

  • M. Oberst*, F. D. Johansson*, D. Wei*, T. Gao, G. Brat, D. Sontag, K. R. Varshney, “Characterization of Overlap in Observational Studies,” International Conference on Artificial Intelligence and Statistics (AISTATS), Palermo, Italy, June 2020. [proceedings] [arXiv]

  • W. Alghamdi, S. Asoodeh, H. Wang, F. P. Calmon, D. Wei, K. Natesan Ramamurthy, "Model Projection: Theory and Applications to Fair Machine Learning," IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, June 2020. [IEEE Xplore]

  • C. Nagpal, D. Wei, B. Vinzamuri, M. Shekhar, S. E. Berger, S. Das, K. R. Varshney, “Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines,” ACM Conference on Health, Inference, and Learning (CHIL), Toronto, Canada, April 2020. [ACM DL] [arXiv]

  • D. Wei, S. Dash, T. Gao, O. Günlük, “Generalized Linear Rule Models,” International Conference on Machine Learning (ICML), Long Beach, CA, June 2019. [proceedings] [arXiv]

  • N. C. F. Codella, M. Hind, K. Natesan Ramamurthy, M. Campbell, A. Dhurandhar, K. R. Varshney, D. Wei, A. Mojsilović, "Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning," ICML Workshop on Human in the Loop Learning (HILL), Long Beach, CA, June 2019. [arXiv] [earlier arXiv]

  • A. Coston, K. Natesan Ramamurthy, D. Wei, K. R. Varshney, S. Speakman, Z. Mustahsan, S. Chakraborty, “Fair Transfer Learning with Missing Protected Attributes,” AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), Honolulu, HI, January 2019 (oral presentation). [ACM DL]

  • M. Hind, D. Wei, M. Campbell, N. C. F. Codella, A. Dhurandhar, A. Mojsilović, K. Natesan Ramamurthy, K. R. Varshney, "TED: Teaching AI to Explain Its Decision," AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), Honolulu, HI, January 2019 (oral presentation). [ACM DL] [arXiv] [slides]

  • S. Dash*, O. Günlük*, D. Wei*, "Boolean decision rules via column generation," Advances in Neural Information Processing Systems (NeurIPS/NIPS), Montreal, Canada, December 2018. Spotlight presentation. [proceedings] [arXiv] [poster]

  • T. Gao*, D. Wei*, "Parallel Bayesian network structure learning," International Conference on Machine Learning (ICML), Stockholm, Sweden, July 2018. [proceedings]

  • P.-Y. Chen*, D. Wei*, "On the supermodularity of active graph-based semi-supervised learning with Stieltjes matrix regularization," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 2018. [arXiv] [IEEE Xplore]

  • F. P. Calmon, D. Wei, B. Vinzamuri, K. Natesan Ramamurthy, K. R. Varshney, "Optimized pre-processing for discrimination prevention," Advances in Neural Information Processing Systems (NeurIPS/NIPS), Long Beach, CA, December 2017. [proceedings] [arXiv]

  • K. Natesan Ramamurthy, D. Wei, E. A. Ray, M. Singh, V. Iyengar, D. Katz-Rogozhnikov, J. Yang, K. N. Tran, G. Yuen-Reed, "A configurable, big data system for on-demand healthcare cost prediction," IEEE International Conference on Big Data, Boston, MA, December 2017. [pdf] [IEEE Xplore]

  • J. Zhang, V. Iyengar, D. Wei, B. Vinzamuri, H. S. Bastani, A. R. Macalalad, A. E. Fischer, G. Yuen-Reed, A. Mojsilović, K. R. Varshney, "Exploring the causal relationships between initial opioid prescriptions and outcomes," AMIA Workshop on Data Mining for Medical Informatics, Washington, DC, November 2017. [pdf]

  • S. Shaikh, H. Vishwakarma, S. Mehta, K. R. Varshney, K. Natesan Ramamurthy, D. Wei, "An end-to-end machine learning pipeline that ensures fairness policies," Bloomberg Data for Good Exchange, New York, NY, September 2017. [arXiv]

  • T. NeCamp, P. Sattigeri, D. Wei, E. Ray, Y. Drissi, A. Poddar, D. Mahajan, S. Bowden, B. A. Han, A. Mojsilović, K. R. Varshney, "Cognitive Disease Hunter: Developing automated pathogen feature extraction from scientific literature," Data Science for Social Good Conference, Chicago, IL, September 2017. [pdf]

  • S. Majumdar, D. Wei, A. Perer, B. Glicksberg, A. Mojsilović, K. R. Varshney, B. A. Han, "A Bayesian approach for predicting neotropical primate reservoirs of Zika virus," International Symposium on Business and Industrial Statistics (ISBIS), Yorktown Heights, NY, June 2017.

  • D. Wei, "A constant-factor bi-criteria approximation guarantee for k-means++," Advances in Neural Information Processing Systems (NeurIPS/NIPS), Barcelona, Spain, December 2016. [proceedings] [arXiv]

  • G. Su, D. Wei, K. R. Varshney, D. M. Malioutov, "Learning sparse two-level Boolean rules," IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Vietri sul Mare, Italy, September 2016. [pdf] [IEEE Xplore]

  • G. Su, D. Wei, K. R. Varshney, D. M. Malioutov, "Interpretable two-level Boolean rule learning for classification," International Conference on Machine Learning (ICML) Workshop on Human Interpretability in Machine Learning (WHI), New York, NY, June 2016. [arXiv]

  • A. Wisler, V. Berisha, D. Wei, K. Natesan Ramamurthy, A. Spanias, "Empirically-estimable multi-class classification bounds," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016. [pdf] [IEEE Xplore]

  • D. A. Katz-Rogozhnikov, D. Wei, G. Y. Yuen-Reed, K. Natesan Ramamurthy, A. Mojsilović, "Toward comprehensive attribution of healthcare cost changes," IEEE International Conference on Data Mining Workshop (ICDMW) on Biological Data Mining and its Applications in Healthcare, Atlantic City, NJ, November 2015. [pdf] [IEEE Xplore]

  • Y.-H. Chen, D. Wei, G. Newstadt, J. P. Simmons, A. O. Hero, "Coercive region-level registration for multi-modal images," IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, September 2015. [arXiv] [IEEE Xplore]

  • Y.-H. Chen, D. Wei, G. Newstadt, M. De Graef, J. P. Simmons, A. O. Hero, "Statistical estimation and clustering of group-invariant orientation parameters," International Conference on Information Fusion, Washington, DC, July 2015. [arXiv] [IEEE Xplore]

  • B. Mu, G. Newstadt, D. Wei, A. O. Hero, J. P. How, "Adaptive search for multi-class targets with heterogeneous importance," International Conference on Information Fusion, Washington, DC, July 2015. [IEEE Xplore]

  • D. Wei, K. R. Varshney, M. Wagman, "Optigrow: People analytics for job transfers," IEEE Big Data Congress, New York, NY, June 2015. [pdf] [IEEE Xplore]

  • D. Wei, K. Natesan Ramamurthy, K. R. Varshney, "Health insurance market risk assessment: Covariate shift and k-anonymity," SIAM International Conference on Data Mining (SDM), Vancouver, Canada, April 2015. Best paper honorable mention. [pdf] [SIAM] [talk]

  • D. Wei, "Adaptive sensing resource allocation over multiple hypothesis tests," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [pdf] [arXiv] [IEEE Xplore]

  • D. Wei and K. R. Varshney, "Robust binary hypothesis testing under contaminated likelihoods," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [pdf] [arXiv] [IEEE Xplore]

  • Y.-H. Chen, D. Wei, G. Newstadt, M. De Graef, J. Simmons, A. O. Hero, "Parameter estimation in spherical symmetry groups," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [arXiv] [IEEE Xplore]

  • D. Wei, K. Natesan Ramamurthy, D. A. Katz-Rogozhnikov, A. Mojsilović, "Multiplicative regression via constrained least squares," IEEE Workshop on Statistical Signal Processing (SSP), Gold Coast, Australia, July 2014. [pdf] [IEEE Xplore]

  • S. U. Park, Y.-H. Chen, M. Jackson, M. Shah, D. Wei, J. P. Simmons, A. O. Hero, M. De Graef, "Forward modeling and a new dictionary-based approach to EBSD pattern indexing," Electron Back-Scatter Diffraction (EBSD), Pittsburgh, PA, June 2014.

  • Z. Meng, D. Wei, A. Wiesel, A. O. Hero, "Marginal likelihoods for distributed estimation of graphical model parameters," IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, December 2013. Best student paper award. [pdf] [IEEE Xplore]

  • G. Newstadt, D. Wei, A. O. Hero, "Adaptive search for sparse dynamic targets," IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, December 2013. [pdf] [IEEE Xplore]

  • D. Wei and A. O. Hero, "A performance guarantee for adaptive estimation of sparse signals," IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, December 2013. (invited) [pdf] [IEEE Xplore]

  • H. Firouzi, D. Wei, A. O. Hero, "Spatio-temporal analysis of Gaussian WSS processes via complex correlation and partial correlation screening," IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, December 2013. (invited) [pdf] [IEEE Xplore]

  • S. U. Park, D. Wei, M. De Graef, M. Shah, J. Simmons, A. O. Hero, "EBSD image segmentation using a physics-based forward model," IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, September 2013. [IEEE Xplore]

  • T.-Y. Liu, L. Trinchera, A. Tenenhaus, D. Wei, A. O. Hero, "Global criteria for sparse penalized partial least squares," 59th ISI World Statistics Congress (WSC), Hong Kong, China, August 2013.

  • S. U. Park, D. Wei, M. De Graef, M. Shah, J. Simmons, A. O. Hero, "A physics-based pattern dictionary for EBSD image segmentation," Microscopy & Microanalysis Meeting (M&M), Indianapolis, IN, August 2013.

  • D. Wei and A. O. Hero, "Adaptive spectrum sensing and estimation," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [pdf] [IEEE Xplore]

  • Z. Meng, D. Wei, A. Wiesel, A. O. Hero, "Distributed learning of Gaussian graphical models via marginal likelihoods," 16th International Conference on Artificial Intelligence and Statistics (AISTATS), Scottsdale, AZ, April 2013. Notable paper award. [proceedings] [arXiv]

  • T.-Y. Liu, L. Trinchera, A. Tenenhaus, D. Wei, A. O. Hero, "A new criterion for sparse PLS regression," 20th International Conference on Computational Statistics (COMPSTAT), Limassol, Cyprus, August 2012.

  • D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," IEEE Workshop on Statistical Signal Processing (SSP), Ann Arbor, MI, August 2012. [pdf] [IEEE Xplore]

  • T.-Y. Liu, L. Trinchera, A. Tenenhaus, D. Wei, A. O. Hero, "Globally sparse PLS regression," 7th International Conference on Partial Least Squares and Related Methods (PLS), Houston, TX, May 2012. Proceedings published in New Perspectives in Partial Least Squares and Related Methods, Springer Proceedings in Mathematics & Statistics, vol. 56, pp. 117-127, 2013. [pdf] [Springer]

  • D. Wei and P. T. Boufounos, "Saturation-robust SAR image formation," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011. [pdf] [IEEE Xplore]

  • W. Hong, D. Wei, A. U. Batur, "Video stabilization and rolling shutter distortion reduction," IEEE International Conference on Image Processing (ICIP), Hong Kong, China, September 2010. [pdf] [IEEE Xplore]

  • D. Wei and A. V. Oppenheim, "Sparsity maximization under a quadratic constraint with applications in filter design," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, March 2010. [pdf] [IEEE Xplore]

  • D. Wei, "Non-convex optimization for the design of sparse FIR filters," IEEE Workshop on Statistical Signal Processing (SSP), Cardiff, UK, September 2009. [pdf] [IEEE Xplore]

  • D. Wei and A. V. Oppenheim, "Sampling based on local bandwidth," Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2007. [pdf] [IEEE Xplore]

Journal Publications

  • V. Arya, R. K. E. Bellamy, P.-Y. Chen, A. Dhurandhar, M. Hind, S. C. Hoffman, S. Houde, Q. V. Liao, R. Luss, A. Mojsilović, S. Mourad, P. Pedemonte, R. Raghavendra, J. Richards, P. Sattigeri, K. Shanmugam, M. Singh, K. R. Varshney, D. Wei, Y. Zhang, “AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models," Journal of Machine Learning Research (JMLR), 2020. [arXiv]

  • B. A. Han, S. Majumdar, F. P. Calmon, B. Glicksberg, R. Horesh, A. Kumar, A. Perer, E. von Marschall, D. Wei, A. Mojsilović, K. R. Varshney, "Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates," Epidemics, vol. 27, pp. 59-65, June 2019. [ScienceDirect]

  • D. Wei, K. Natesan Ramamurthy, K. R. Varshney, "Distribution-preserving k-anonymity," Statistical Analysis and Data Mining, vol. 11, no. 6, pp. 253-270, December 2018. [arXiv] [Wiley]

  • F. P. Calmon, D. Wei, B. Vinzamuri, K. Natesan Ramamurthy, K. R. Varshney, "Data pre-processing for discrimination prevention: Information-theoretic optimization and analysis," IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 5, pp. 1106-1119, October 2018. [IEEE Xplore]

  • D. Wei, "k-quantiles: L1 distance clustering under a sum constraint," Pattern Recognition Letters, vol. 92, pp. 49-55, June 2017. [pdf] [ScienceDirect]

  • G. E. Newstadt, B. Mu, D. Wei, J. P. How, A. O. Hero, "Importance-weighted adaptive search for multi-class targets," IEEE Transactions on Signal Processing, vol. 63, no. 23, pp. 6299-6314, December 2015. [arXiv] [IEEE Xplore]

  • Y.-H. Chen, D. Wei, G. Newstadt, M. De Graef, J. Simmons, A. O. Hero, "Parameter estimation in spherical symmetry groups," IEEE Signal Processing Letters, vol. 22, no. 8, pp. 1152-1155, August 2015. [pdf] [arXiv] [IEEE Xplore]

  • K. R. Varshney, D. Wei, K. Natesan Ramamurthy, A. Mojsilović, "Data challenges in disease response: The 2014 Ebola outbreak and beyond," ACM Journal of Data and Information Quality, vol. 6, no. 2-3, article 5, pp. 1-3, July 2015. [ACM DL]

  • Y.-H. Chen, S. U. Park, D. Wei, G. Newstadt, M. A. Jackson, J. P. Simmons, M. De Graef, A. O. Hero, "A dictionary approach to electron backscatter diffraction indexing," Microscopy and Microanalysis, vol. 21, no. 3, pp. 739-752, June 2015. [arXiv] [Cambridge University Press]

  • G. Newstadt, D. Wei, A. O. Hero, "Adaptive search and tracking of sparse dynamic targets under resource constraints," IEEE Transactions on Signal Processing, vol. 63, no. 9, pp. 2321-2335, May 2015. [arXiv] [IEEE Xplore]

  • D. Wei and A. O. Hero, "Performance guarantees for adaptive estimation of sparse signals," IEEE Transactions on Information Theory, vol. 61, no. 4, pp. 2043-2059, April 2015. [pdf] [arXiv] [IEEE Xplore]

  • Z. Meng, D. Wei, A. Wiesel, A. O. Hero, "Marginal likelihoods for distributed parameter estimation of Gaussian graphical models," IEEE Transactions on Signal Processing, vol. 62, no. 20, pp. 5425-5438, October 2014. [arXiv] [IEEE Xplore]

  • T.-Y. Liu, L. Trinchera, A. Tenenhaus, D. Wei, A. O. Hero, "Jointly sparse global SIMPLS regression," submitted, August 2014. [arXiv]

  • D. Wei and A. O. Hero, "Multistage adaptive estimation of sparse signals," IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 5, pp. 783-796, October 2013. [pdf] [arXiv] [IEEE Xplore]

  • K. Sricharan, D. Wei, A. O. Hero, "Ensemble estimators for multivariate entropy estimation," IEEE Transactions on Information Theory, vol. 59, no. 7, pp. 4374-4388, July 2013. [arXiv] [IEEE Xplore]

  • D. Wei and A. V. Oppenheim, "A branch-and-bound algorithm for quadratically-constrained sparse filter design," IEEE Transactions on Signal Processing, vol. 61, no. 4, pp. 1006-1018, February 2013. [pdf] [IEEE Xplore]

  • D. Wei, C. K. Sestok, A. V. Oppenheim, "Sparse filter design under a quadratic constraint: Low-complexity algorithms," IEEE Transactions on Signal Processing, vol. 61, no. 4, pp. 857-870, February 2013. [pdf] [IEEE Xplore]

  • T. Baran, D. Wei, and A. V. Oppenheim, "Linear programming algorithms for sparse filter design," IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1605-1617, March 2010. [pdf] [IEEE Xplore]

  • E. Hemsing, I. Furno, T. Intrator, D. Wei, "Analysis of visible light images from a fast-gated intensified charge coupled device camera during flux rope interaction and magnetic reconnection," Review of Scientific Instruments, vol. 75, pp. 4106-4108, October 2004.

Book Chapter

  • H. Firouzi, D. Wei, A. O. Hero, "Spectral correlation hub screening of multivariate time series," Excursions in Harmonic Analysis, Springer-Birkhaeuser, 2014. [arXiv]

Technical Reports and Theses

  • D. Wei, "On two relaxations of quadratically-constrained cardinality minimization," October 2012. [arXiv]

  • D. Wei, "Design of discrete-time filters for efficient implementation," Ph.D. thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, May 2011. [pdf]

  • D. Wei, "Sampling based on local bandwidth," M.Eng. thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, December 2006. [pdf]

  • D. Wei, "X-Ray Power Density Spectra of Black Hole Binaries: A New Deadtime Model for the Rossi X-Ray Timing Explorer Proportional Counter Array," S.B. thesis, Department of Physics, Massachusetts Institute of Technology, May 2006. [pdf] [NASA Goddard]

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