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Multicalibrated Regression for Downstream Fairness


Sep 15, 2022
Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth


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Practical Adversarial Multivalid Conformal Prediction


Jun 02, 2022
Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth

* Code for our experiments can be found at: https://github.com/ProgBelarus/MultiValidPrediction 

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Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems


Nov 06, 2021
Yuwei Luo, Varun Gupta, Mladen Kolar


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Adaptive Machine Unlearning


Jun 08, 2021
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites


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Online Multivalid Learning: Means, Moments, and Prediction Intervals


Jan 05, 2021
Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth


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Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System


May 07, 2020
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau

* To be published in Proceedings of the the 21st International Conference on Artificial Intelligence in Education (AIED 2020) 

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A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM


May 06, 2020
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung D. Vu, Robert Belfer, Joelle Pineau, Aaron Courville, Laurent Charlin, Yoshua Bengio

* 6 pages, 1 figure, 1 table, accepted for publication in the 21st International Conference on Artificial Intelligence in Education (AIED 2020) 

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Learning Influence-Receptivity Network Structure with Guarantee


Jun 14, 2018
Ming Yu, Varun Gupta, Mladen Kolar


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Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach


Feb 20, 2018
Ming Yu, Zhaoran Wang, Varun Gupta, Mladen Kolar


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