Ananth Balashankar
Ananth Balashankar
Research Scientist, Google; PhD, New York University
Verified email at
Cited by
Cited by
VACCINE: Using Contextual Integrity For Data Leakage Detection
Y Shvartzshnaider, Z Pavlinovic, A Balashankar, T Wies, L Subramanian, ...
The World Wide Web Conference, 1702-1712, 2019
What is fair? exploring pareto-efficiency for fairness constrained classifiers
A Balashankar, A Lees, C Welty, L Subramanian
arXiv preprint arXiv:1910.14120, 2019
RECIPE: Applying open domain question answering to privacy policies
Y Shvartzshanider, A Balashankar, T Wies, L Subramanian
Proceedings of the Workshop on Machine Reading for Question Answering, 71-77, 2018
Signal-aware data transfer in cellular networks
V Navda, R Ramjee, S Suneja, A Balashankar
US Patent 8,843,169, 2014
Identifying Predictive Causal Factors from News Streams
A Balashankar, S Chakraborty, S Fraiberger, L Subramanian
Empirical Methods in Natural Language Processing, 2019
Pareto-Efficient Fairness for Skewed Subgroup Data
A Balashankar, AW Lees, C Welty, L Subramanian
ICML Workshop on AI for Social Good, 2019
Learning Faithful Representations of Causal Graphs
A Balashankar, L Subramanian
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
(Stable) virtual landmarks: Spatial dropbox to enhance retail experience
S Pradhan, A Balashankar, N Ganguly, B Mitra
2014 Sixth International Conference on Communication Systems and Networks …, 2014
Reconstructing the MERS Disease Outbreak from News
A Balashankar, A Dugar, L Subramanian, S Fraiberger
Can we improve model robustness through secondary attribute counterfactuals?
A Balashankar, X Wang, B Packer, N Thain, E Chi, A Beutel
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Beyond the text: Analysis of privacy statements through syntactic and semantic role labeling
Y Shvartzshnaider, A Balashankar, V Patidar, T Wies, L Subramanian
arXiv preprint arXiv:2010.00678, 2020
Fairness Sample Complexity and the Case for Human Intervention
A Balashankar, AW Lees
CHI Workshop on Where is the Human? Bridging the Gap Between AI and HCI, 2019
Enhancing neural recommender models through domain-specific concordance
A Balashankar, A Beutel, L Subramanian
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Predicting food crises using news streams
A Balashankar, L Subramanian, SP Fraiberger
Science Advances 9 (9), eabm3449, 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Z Shi, N Carlini, A Balashankar, L Schmidt, CJ Hsieh, A Beutel, Y Qin
arXiv preprint arXiv:2302.01381, 2023
The Need for Transparent Demographic Group Trade-Offs in Credit Risk and Income Classification
A Balashankar, A Lees
International Conference on Information, 344-354, 2022
Fine-grained prediction of food insecurity using news streams
A Balashankar, L Subramanian, SP Fraiberger
arXiv preprint arXiv:2111.15602, 2021
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
A Balashankar, X Wang, Y Qin, B Packer, N Thain, J Chen, EH Chi, ...
arXiv preprint arXiv:2305.13535, 2023
Learning Conditional Granger Causal Temporal Networks
A Balashankar, S Jagabathula, L Subramanian
2nd Conference on Causal Learning and Reasoning, 2023
Modeling fine-grained spatio-temporal pollution maps with low-cost sensors
SR Iyer, A Balashankar, WH Aeberhard, S Bhattacharyya, G Rusconi, ...
npj Climate and Atmospheric Science 5 (1), 76, 2022
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