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DRTCI: Learning Disentangled Representations for Temporal Causal Inference


Jan 20, 2022
Garima Gupta, Lovekesh Vig, Gautam Shroff

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* Accepted in Workshop on "The Neglected Assumptions in Causal Inference" at ICML 2021 (July) 

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CAMTA: Casual Attention Model for Multi-touch Attribution


Dec 21, 2020
Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

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Hi-CI: Deep Causal Inference in High Dimensions


Aug 22, 2020
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

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* 23 pages, 5 figures, Accepted in Causal Discovery Workshop - KDD 2020 

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MultiMBNN: Matched and Balanced Causal Inference with Neural Networks


Apr 29, 2020
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

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* 6 journal pages; to be published in ESANN 2020 

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MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population


Dec 09, 2019
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

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* 10 pages, NeurIPS 2019 CausalML workshop 

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Comparative Benchmarking of Causal Discovery Techniques


Sep 12, 2017
Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff

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* arXiv admin note: text overlap with arXiv:1506.07669, arXiv:1611.03977 by other authors 

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Deep Convolutional Neural Networks for Pairwise Causality


Jan 03, 2017
Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal

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* Published at NIPS 2016 Workshop "What If" and Won the best Poster Award 

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