Publications

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
   [arxiv]


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]

Others

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]