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I am a PhD student in MLD within school of computer science at CMU working under Prof. Eric Xing.

My research interests include Bayesian modeling and inference, Bayesian nonparametrics, question answering and interpretable machine learning. I have recently worked on transferring supervision in finite and infinite mixture models (Dirichlet Process) and information retrieval.

I interned at Microsoft Research Redmond in summer of 2014 and got the opportunity to work with great mentors: Rich Caruana,  Evelyne Viegas and Mathew Richardson. I also received the prestigious IBM Fellowship for 2013-2015. I have worked as a researcher for 2 years at IBM Research India from 2009 - 2011. I received my Master of Technology degree in Computer Science from IIT Bombay in 2009.
I did my Master's thesis in Information Retrieval under the guidance of Prof. Soumen Chakrabarti

Publications (dblp, scholar)

Working Manuscripts
  • Contextual Explanation Networks - M. Al-Shedivat, A. Dubey, E.P. Xing (In submission arXiv)
  • Transformation Autoregressive Networks - J. OlivaA. Dubey, B. Poczos, J. Schneider, E. P. Xing (In submission)
* denotes equal contribution

Conference Publications
  • From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems -- M. Sachan, A. Dubey, E.P. Xing. Conference on Empirical Methods in Natural Language Processing (EMNLP) 2017. [pdf]
  • Variance Reduction in Stochastic Gradient Langevin Dynamics -- A. Dubey*, S. Reddi*, S. Williamson, B. Poczos, A. Smola, E. Xing. Advances in Neural Information Processing Systems (NIPS) 2016. [pdf]
  • Bayesian Nonparametric Kernel-Learning --  A. Dubey*, J. Oliva*,  A. Wilson, B. Poczos, J. Schneider, E. P. Xing. International Conference on Artificial Intelligence and Statistics (AISTATS) 2016. [pdf]
  • Science Question Answering using Instructional Materials -- M. Sachan, A. Dubey, E. P. Xing. Association for Computational Linguistics (ACL) 2016. [pdf]
  • Estimating Accuracy from Unlabeled Data: A Bayesian Approach -- E. Platanios, A. Dubey, T. Mitchell. International Conference of Machine Learning (ICML) 2016. [pdf, supplementary]
  • Learning Answer-Entailing Structures for Machine Comprehension -- M. Sachan, A. Dubey, M. Richardson, E. P. Xing, Association for Computational Linguistics (ACL) 2015. [pdf, Best paper nomination, Selected as one of the Outstanding Papers at ACL 2015]
  • Large-scale Distributed Dependent Nonparametric Trees -- Z. Hu, Q. Ho, A. Dubey, E. P. Xing, The 32th International Conference on Machine Learning (ICML) 2015. [pdf]
  • Large-scale randomized-coordinate descent methods with non-separable linear constraints -- S. Reddi, A. Hefny, A. Dubey, C. Downey, S. Sra. International Conference on Conference on Uncertainty in Artificial Intelligence (UAI) 2015. [arXiv:1409.2617]
  • Dependent nonparametric trees for dynamic hierarchical clustering -- A. Dubey*, Q. Ho*, S.Williamson and E. P. Xing, Advances in Neural Information Processing Systems (NIPS) 2014 [pdf]
  • Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models -- A. Dubey, S.Williamson and E. P. Xing, International Conference on Conference on Uncertainty in Artificial Intelligence (UAI) 2014. [pdf]
  • Spatial Compactness meets Topical Consistency: Jointly modeling Links and Content for Community Detection -- M. Sachan, A. Dubey, S. Srivastava, E. P. Xing and E. Hovy, International Conference on Web Search and Data Mining (WSDM) 2014. [pdf, Considered for best paper]
  • Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models -- S. Williamson, A. Dubey,  E. P. Xing. The 30th International Conference on Machine Learning (ICML) 2013 [pdf]
  • A Non-parametric Mixture Model for Topic Modeling Over Time -- A. Dubey, A. Hefny, S. Williamson, E. P. Xing, Proceedings of The Thirteenth SIAM International Conference on Data Mining (SDM) 2013. [pdf]
  • AUSUM: approach for unsupervised bug report summarization -- S. Mani, R. Catherine, V. S. Sinha, A. Dubey, ACM 20th International Symposium on the Foundations of Software Engineering  (SIGSOFT) 2012. [pdf]
  • Learning Dirichlet Process from Partially Observed Groups -- A. Dubey, I. Bhattacharya, M. Das, T. Faruqie, and C. Bhattacharyya, IEEE International Conference on Data Mining (ICDM) 2011. [pdf]
  • Diversity in Ranking via Resistive Graph Centers -- A. Dubey, S. Chakrabarti, C. Bhattacharyya, 17th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD) 2011. [pdf]
  • A Cluster-Level Semi-Supervision Model for Interactive Clustering -- A. Dubey, I. Bhattacharya, S. Godbole, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2010. [pdf]
  • Conditional Models for Non-smooth Ranking Loss Functions -- A. Dubey, J. Machchhar, C. Bhattacharyya and S. Chakrabarti, IEEE International Conference on Data Mining (ICDM) 2009. [pdf]


Workshop / Other Works
  • The Intriguing Properties of Model Explanations - M. Al-Shedivat, A. Dubey, E.P. Xing. Advances in Neural Information Processing Systems (NIPS) 2017 Symposium on Interpretable Machine Learning [pdf]
  • Patient Specific Survival Prediction with Explanations - M. Al-Shedivat, A. Dubey, E.P. Xing. Advances in Neural Information Processing Systems (NIPS) 2017 ML for Health Workshop (ML4H) [pdf]
  • Recurrent Estimation of Distributions -  J. Oliva*, A. Dubey*, B. Poczos, J. Schneider, E. P. Xing - [arXiv:1705.10750]
  • Parallel Markov chain Monte Carlo for the Indian buffet process. - M. Zhang, A. Dubey, S. Williamson, Advances in Neural Information Processing Systems (NIPS) Workshop on Bayesian Nonparametrics: The Next Generation 2015. [pdf
  • Integrating Transition-based and Graph-based Parsing Using Integer Linear Programming - A. Dubey, A. Hefny, S. J. Reddy, Advances in Neural Information Processing Systems 28 (NIPS ) Workshop Modern ML + NLP [pdf]
  • Efficient and Accurate Local Learning for Ranking,  S. Banerjee, A. Dubey, J. Machchhar, S. Chakrabarti, 32nd Annual ACM SIGIR  Conference  workshop on Learning to Rank for Information Retrieval , Boston, USA, July 2009. [pdf]


CV (Please Contact Me)

Patents

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