3 papers
cs.IR2025
Improving Minimax Group Fairness in Sequential Recommendation
Krishna Acharya, David Wardrope, Timos Korres +2
Training sequential recommenders such as SASRec with uniform sample weights achieves good overall performance but can fall short on specific user groups. One such example is popula…
cs.LG2024
Personalized Differential Privacy for Ridge Regression
Krishna Acharya, Franziska Boenisch, Rakshit Naidu +1
The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). DP requ…
cs.LG2023
Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan +2
We study the problem of online prediction, in which at each time step , an individual arrives, whose label we must predict. Each individual is associated with various grou…