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Lakshminarayanan Subramanian

◀ ▶ joint publications with Ananth Balashankar

> Home > Persons > Lakshminarayanan Subramanian

Publications

2023
[c106]
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  - conf/clear2/BalashankarJS23
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  - https://dblp.org/rec/conf/clear2/BalashankarJS23
Ananth Balashankar, Srikanth Jagabathula, Lakshmi Subramanian:
Learning Conditional Granger Causal Temporal Networks. CLeaR 2023: 692-706
2022
[c105]
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  - conf/dev/BalashankarFDGS22
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Ananth Balashankar, Samuel Fraiberger, Eric Deregt, Marelize Gorgens, Lakshminarayanan Subramanian:
Targeted Policy Recommendations using Outcome-aware Clustering. COMPASS 2022: 300-312
2021
[c101]
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  - conf/acl/BalashankarS20
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Ananth Balashankar, Lakshminarayanan Subramanian:
Learning Faithful Representations of Causal Graphs. ACL/IJCNLP (1) 2021: 839-850
[c97]
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  - conf/wsdm/BalashankarBS21
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Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian:
Enhancing Neural Recommender Models through Domain-Specific Concordance. WSDM 2021: 1002-1010
[i11]
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  - journals/corr/abs-2111-15602
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Ananth Balashankar, Lakshminarayanan Subramanian, Samuel P. Fraiberger:
Fine-grained prediction of food insecurity using news streams. CoRR abs/2111.15602 (2021)
2020
[i10]
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  - journals/corr/abs-2010-00678
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Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar, Thomas Wies, Lakshminarayanan Subramanian:
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling. CoRR abs/2010.00678 (2020)
2019
[c92]
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  - conf/dev/BalashankarDSF19
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Ananth Balashankar, Aashish Dugar, Lakshminarayanan Subramanian, Samuel Fraiberger:
Reconstructing the MERS disease outbreak from news. COMPASS 2019: 272-280
[c91]
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  - conf/emnlp/BalashankarCFS19
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Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian:
Identifying Predictive Causal Factors from News Streams. EMNLP/IJCNLP (1) 2019: 2338-2348
[c88]
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  - conf/www/Shvartzshnaider19
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Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum, Prateek Mittal:
VACCINE: Using Contextual Integrity For Data Leakage Detection. WWW 2019: 1702-1712
[i9]
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  - journals/corr/abs-1910-14120
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Ananth Balashankar, Alyssa Lees, Chris Welty, Lakshminarayanan Subramanian:
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers. CoRR abs/1910.14120 (2019)
2018
[c87]
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  - conf/acl/BalashankarCS18
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Ananth Balashankar, Sunandan Chakraborty, Lakshminarayanan Subramanian:
Unsupervised Word Influencer Networks from News Streams. ECONLP@ACL 2018: 62-68
[c86]
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  - conf/acl/Shvartzshanider18
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Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian:
RECIPE: Applying Open Domain Question Answering to Privacy Policies. QA@ACL 2018: 71-77

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