(Stable) virtual landmarks: Spatial dropbox to enhance retail experience. - Swadhin Pradhan; Ananth Balashankar; Niloy Ganguly; Bivas Mitra (COMSNETS, 2014)

Unsupervised Word Influencer Networks from News Streams. - Ananth Balashankar; Sunandan Chakraborty; Lakshminarayanan Subramanian (ECONLP@ACL, 2018)

RECIPE: Applying Open Domain Question Answering to Privacy Policies. - Yan Shvartzshanider; Ananth Balashankar; Thomas Wies; Lakshminarayanan Subramanian (QA@ACL, 2018)

Reconstructing the MERS disease outbreak from news. - Ananth Balashankar; Aashish Dugar; Lakshminarayanan Subramanian; Samuel Fraiberger (COMPASS, 2019)

Identifying Predictive Causal Factors from News Streams. - Ananth Balashankar; Sunandan Chakraborty; Samuel Fraiberger; Lakshminarayanan Subramanian (EMNLP/IJCNLP (1), 2019)

VACCINE: Using Contextual Integrity For Data Leakage Detection. - Yan Shvartzshnaider; Zvonimir Pavlinovic; Ananth Balashankar; Thomas Wies; Lakshminarayanan Subramanian; Helen Nissenbaum; Prateek Mittal (WWW, 2019)

Fairness Sample Complexity and the Case for Human Intervention. - Ananth Balashankar; Alyssa Lees (CoRR, 2019)

What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers. - Ananth Balashankar; Alyssa Lees; Chris Welty; Lakshminarayanan Subramanian (CoRR, 2019)

Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling. - Yan Shvartzshnaider; Ananth Balashankar; Vikas Patidar; Thomas Wies; Lakshminarayanan Subramanian (CoRR, 2020)

Learning Faithful Representations of Causal Graphs. - Ananth Balashankar; Lakshminarayanan Subramanian (ACL/IJCNLP (1), 2021)

Can We Improve Model Robustness through Secondary Attribute Counterfactuals? - Ananth Balashankar; Xuezhi Wang 002; Ben Packer; Nithum Thain; Ed H. Chi; Alex Beutel (EMNLP (1), 2021)

Enhancing Neural Recommender Models through Domain-Specific Concordance. - Ananth Balashankar; Alex Beutel; Lakshminarayanan Subramanian (WSDM, 2021)

Fine-grained prediction of food insecurity using news streams. - Ananth Balashankar; Lakshminarayanan Subramanian; Samuel P. Fraiberger (CoRR, 2021)

Targeted Policy Recommendations using Outcome-aware Clustering. - Ananth Balashankar; Samuel Fraiberger; Eric Deregt; Marelize Gorgens; Lakshminarayanan Subramanian (COMPASS, 2022)

The Need for Transparent Demographic Group Trade-Offs in Credit Risk and Income Classification. - Ananth Balashankar; Alyssa Lees (iConference (1), 2022)

Enhancing Robustness through Domain Faithful Deep Learning Systems - Ananth Balashankar (2022)

Learning Conditional Granger Causal Temporal Networks. - Ananth Balashankar; Srikanth Jagabathula; Lakshmi Subramanian (CLeaR, 2023)

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. - Ananth Balashankar; Xuezhi Wang 002; Yao Qin 001; Ben Packer; Nithum Thain; Ed H. Chi; Jilin Chen; Alex Beutel (EMNLP (Findings), 2023)

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. - Zhouxing Shi; Nicholas Carlini; Ananth Balashankar; Ludwig Schmidt; Cho-Jui Hsieh; Alex Beutel; Yao Qin 001 (NeurIPS, 2023)

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. - Ananth Balashankar; Xuezhi Wang 002; Yao Qin 001; Ben Packer; Nithum Thain; Jilin Chen; Ed H. Chi; Alex Beutel (CoRR, 2023)

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. - Ananth Balashankar; Xiao Ma 010; Aradhana Sinha; Ahmad Beirami; Yao Qin 001; Jilin Chen; Alex Beutel (CoRR, 2023)

Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. - Zhaofeng Wu; Ananth Balashankar; Yoon Kim; Jacob Eisenstein; Ahmad Beirami (EMNLP, 2024)

Inducing Group Fairness in LLM-Based Decisions. - James Atwood; Preethi Lahoti; Ananth Balashankar; Flavien Prost; Ahmad Beirami (CoRR, 2024)

Automated Adversarial Discovery for Safety Classifiers. - Yash Kumar Lal; Preethi Lahoti; Aradhana Sinha; Yao Qin 001; Ananth Balashankar (CoRR, 2024)

Discovering Hidden Pollution Hotspots Using Sparse Sensor Measurements. - Ankit Bhardwaj; Ananth Balashankar; Shiva R. Iyer; Nita Soans; Anant Sudarshan; Rohini Pande; Lakshminarayanan Subramanian (CoRR, 2024)

InfAlign: Inference-aware language model alignment. - Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins 001; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh; Ahmad Beirami (CoRR, 2024)

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. - Aradhana Sinha; Ananth Balashankar; Ahmad Beirami; Thi Avrahami; Jilin Chen; Alex Beutel (Trans. Mach. Learn. Res., 2024)