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Specifying and Testing $k$-Safety Properties for Machine-Learning Models


Jun 13, 2022
Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz


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Equity and Fairness of Bayesian Knowledge Tracing


May 04, 2022
Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla


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From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks


May 03, 2022
Adish Singla, Nikitas Theodoropoulos

* Longer version of EDM 2022 paper 

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Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes


Apr 01, 2022
Stelios Triantafyllou, Adish Singla, Goran Radanovic


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Admissible Policy Teaching through Reward Design


Jan 06, 2022
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic


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Teaching an Active Learner with Contrastive Examples


Oct 29, 2021
Chaoqi Wang, Adish Singla, Yuxin Chen

* Accepted at NeurIPS 2021 

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Fairness Degrading Adversarial Attacks Against Clustering Algorithms


Oct 22, 2021
Anshuman Chhabra, Adish Singla, Prasant Mohapatra

* Accepted at AFCR workshop, NeurIPS 2021 

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Reinforcement Learning Under Algorithmic Triage


Sep 23, 2021
Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez


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On Blame Attribution for Accountable Multi-Agent Sequential Decision Making


Jul 26, 2021
Stelios Triantafyllou, Adish Singla, Goran Radanovic


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Reinforcement Learning for Education: Opportunities and Challenges


Jul 15, 2021
Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan


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