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Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes


Jun 23, 2022
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De

* ACM TIST 

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Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences


Feb 17, 2022
Vinayak Gupta, Srikanta Bedathur, Abir De

* AAAI 2022 

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Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control


Nov 30, 2021
Santanu Rathod, Manoj Bhadu, Abir De

* 42 pages, 3 figures 

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Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy


Aug 23, 2021
Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti

* 5 Pages, Accepted by CIKM 2021 

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Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time


Aug 15, 2021
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi


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Counterfactual Explanations in Sequential Decision Making Under Uncertainty


Jul 06, 2021
Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez

* To appear at the ICML 2021 workshop on Interpretable Machine Learning in Healthcare 

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Group Testing under Superspreading Dynamics


Jun 30, 2021
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez


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Training Data Subset Selection for Regression with Controlled Generalization Error


Jun 23, 2021
Durga Sivasubramanian, Rishabh Iyer, Ganesh Ramakrishnan, Abir De

* ICML 2021 

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Differentiable Learning Under Triage


Mar 16, 2021
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez


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GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning


Feb 27, 2021
Krishnateja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh Iyer


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