Ananth Balashankar
Ph.D Student
Courant Institute of Mathematical Sciences
60 5th Avenue, New York, NY 10011.



  1. Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
    Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed Chi and Alex Beutel
    EMNLP 2021 (Main Conference) [New!]

  2. Learning Faithful Representations of Causal Graphs
    Ananth Balashankar, Lakshminarayanan Subramanian
    Conference of Association of Computational Linguistics (ACL) 2021 (Oral Paper) [pdf]

  3. Enhancing Neural Recommender Models through Domain-Specific Concordance
    Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian
    International Conference on Web Search and Data Mining (WSDM) 2021 [pdf]

  4. Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling
    Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar, Thomas Wies, Lakshminarayanan Subramanian

  5. Quantifying Risks of Food Insecurity by Analyzing News Media
    Ananth Balashankar, Lakshminarayanan Subramanian, Samuel Fraiberger
    International Conference on Computational Social Science (IC2S2) 2020.

  6. Identifying Predictive Causal Factors from News Streams
    Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian
    EMNLP (Oral Paper) 2019 [pdf]

  7. Pareto Efficient Fairness for Skewed Subgroup Data
    Ananth Balashankar, Alyssa Lees, Chris Welty, Lakshmi Subramanian
    ICML workshop on AI for Social Good 2019. [Best Paper!]

  8. Reconstructing the MERS Disease Outbreak from News
    Ananth Balashankar, Aashish Dugar, Lakshmi Subramanian, Samuel Fraiberger
    ACM COMPASS 2019. [pdf]

  9. Fairness Sample Complexity and the Case for Human Intervention
    Ananth Balashankar, Alyssa Lees
    CHI workshop on Bridging the Gap Between AI and HCI 2019.[pdf]

  10. VACCINE: Using Contextual Integrity for Data Leakage Detection
    Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum and Prateek Mittal
    WWW 2019. [pdf]

  11. Unsupervised Word Influencer Networks from News Streams
    Ananth Balashankar, Sunandan Chakraborty, Lakshminarayanan Subramanian
    ACL workshop on Economics and Natural Language Processing (ECONLP) 2018. [pdf]

  12. Towards Applying Open Domain Question Answering to Privacy Policies
    Yan Shvartzshnaider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian
    ACL workshop on Machine Reading for Question Answering (MRQA) 2018 [pdf]

  13. Causal Inference from News Streams
    Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Srikanth Jagabathula, Lakshminarayanan Subramanian
    ICML workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML) 2018. [pdf]

  14. Stable virtual landmarks: Spatial dropbox to enhance retail experience
    Swadhin Pradhan, Ananth Balashankar, Niloy Ganguly and Bivas Mitra
    Communication Systems and Networks (COMSNETS) 2014 [pdf]


  1. Signal-aware data transfer in cellular networks
    Vishnu Navda, Ramachandran Ramjee, Sahil Suneja, Ananth Balashankar
    US Patent 8843169

  2. App Discovery with Google Play: Personalized Recommendations with Related Apps
    Ananth Balashankar, Levent Koc, Norberto Guimaraes
    Google AI Blog 2016. [blog]