Automatically Generating Discussion Questions. - David Adamson; Divyanshu Bhartiya; Biman Gujral; Radhika Kedia; Ashudeep Singh; Carolyn P. Rosé (AIED, 2013)

Predicting Student Learning from Conversational Cues. - David Adamson; Akash Bharadwaj; Ashudeep Singh; Colin Ashe; David Yaron; Carolyn P. Rosé (Intelligent Tutoring Systems, 2014)

A Semantic Approach to Summarization. - Divyanshu Bhartiya; Ashudeep Singh (CoRR, 2014)

Recommendations as Treatments: Debiasing Learning and Evaluation. - Tobias Schnabel; Adith Swaminathan; Ashudeep Singh; Navin Chandak; Thorsten Joachims (ICML, 2016)

Fairness of Exposure in Rankings. - Ashudeep Singh; Thorsten Joachims (KDD, 2018)

Policy Learning for Fairness in Ranking. - Ashudeep Singh; Thorsten Joachims (NeurIPS, 2019)

Controlling Fairness and Bias in Dynamic Learning-to-Rank. - Marco Morik; Ashudeep Singh; Jessica Hong; Thorsten Joachims (SIGIR, 2020)

Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract). - Marco Morik; Ashudeep Singh; Jessica Hong; Thorsten Joachims (IJCAI, 2021)

Fairness in Ranking under Uncertainty. - Ashudeep Singh; David Kempe 001; Thorsten Joachims (NeurIPS, 2021)

Fairness of Exposure for Ranking Systems. - Ashudeep Singh (2021)

RecRec: Algorithmic Recourse for Recommender Systems. - Sahil Verma; Ashudeep Singh; Varich Boonsanong; John P. Dickerson; Chirag Shah 001 (CIKM, 2023)

Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems. - Pedro Silva 010; Bhawna Juneja; Shloka Desai; Ashudeep Singh; Nadia Fawaz (FAccT, 2023)

Inclusive Recommendations and User Engagement: Experimental Evidence from Pinterest. - Madhav Kumar; Pedro Silva 010; Ashudeep Singh; Abhay Varmaraja (EC, 2024)

Fairness in Search Systems. - Yi Fang; Ashudeep Singh; Zhiqiang Tao (Found. Trends Inf. Retr., 2024)