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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Towards Fair and Explainable Supervised Learning
Aarshee Mishra*, Nicholas Perello*, and Przemyslaw A. Grabowicz. Towards Fair and Explainable Supervised Learning. In ICML Workshop on Socially Responsible Machine Learning (SRML), 2021.
Intervention Aware Shared Autonomy
Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. Intervention Aware Shared Autonomy. In ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021.
Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data
Przemyslaw A. Grabowicz and Nicholas Perello. Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data. In 7th International Conference on Computational Social Science (IC2S2), 2021.
On Optimizing Interventions in Shared Autonomy
Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. On Optimizing Interventions in Shared Autonomy. In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022 https://cdn.aaai.org/ojs/20471/20471-13-24484-1-2-20220628.pdf
Marrying Fairness and Explainability in Supervised Learning
Przemyslaw A. Grabowicz, Nicholas Perello, and Aarshee Mishra. Marrying Fairness and Explainability in Supervised Learning. In ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022. https://dl.acm.org/doi/10.1145/3531146.3533236
Learning from Discriminatory Training Data
Przemyslaw A. Grabowicz*, Nicholas Perello*, and Kenta Takatsu. Learning from Discriminatory Training Data. In AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2023 https://dl.acm.org/doi/10.1145/3600211.3604710
Towards an AI Accountability Policy
Przemyslaw A. Grabowicz, Nicholas Perello, Yair Zick. Towards an AI Accountability Policy. In Comment on FR Doc 2023-07776 Posted by the National Telecommunications and Information Administration, 2023.
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse
Jenny Hamer*, Nicholas Perello*, Jake Valladares, Vignesh Viswanathan*, Yair Zick. Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse. 2024. https://openreview.net/pdf?id=R6ey5DKaoX
Discrimination Induced by Algorithmic Recourse Objectives
Nicholas Perello, Cyrus Cousins, Yair Zick, Przemyslaw A. Grabowicz. Discrimination Induced by Algorithmic Recourse Objectives. To appear in ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2025.
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
CS345 Practice and Applications of Data Management (Fall 2020)
Teaching Assistant, UMass Amherst, 2020
CS383 Artificial Intelligence (Spring 2021, Fall 2021, Spring 2022, Fall 2022)
Teaching Assistant, UMass Amherst, 2021
EMBER (Energizing Mentoring and Broadening Exposure to Research) (Spring 2021)
Ph.D. Mentor, UMass Amherst, 2021
UGRAD Research Volunteer Program (Winter 2020)
Ph.D. Mentor, UMass Amherst, 2022
CICS160: Object Oriented Programming (Spring 2023)
Teaching Assistant, UMass Amherst, 2023
FYS191: First-Year Seminars (Fall 2022, Fall 2023)
Instructor, UMass Amherst, 2023
CS515: Algorithms, Game Theory, and Fairness (Fall 2024)
Teaching Assistant, UMass Amherst, 2023
CICS290C: Computing Success Strategies
Instructor, UMass Amherst, 2023
CICS110: Foundations of Programming (Spring 2024)
Teaching Assistant, UMass Amherst, 2024