Publications • Krishna Acharya

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation -Krishna Acharya, Aleksandr V. Petrov, Juba Ziani. Online and Adaptive Recommender Systems @ KDD 2025.
Personalized Differential Privacy for Ridge Regression- Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani. Privacy Regulation and Protection @ ICLR 2024

Improving Minimax Group Fairness in Sequential Recommendation- Krishna Acharya, David Wardrope, Timos Korres, Aleksandr V. Petrov, Anders Uhrenholt. European Conference on Information Retrieval [ECIR 2025]
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems- Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani. Transactions on Machine Learning Research [TMLR, 2025]
One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits- Etash Kumar Guha, Jim Thannikary James, Krishna Acharya, Vidya Muthukumar, Ashwin Pananjady. Uncertainty in Artificial Intelligence [UAI 2024]
Oracle Efficient Algorithms for Groupwise Regret- Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani. International Conference on Learning Representations [ICLR 2024]
Wealth Dynamics Over Generations: Analysis and Interventions- Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani. Secure and Trustworthy Machine Learning [SaTML 2023]
Analysis of QoE for Adaptive Video Streaming over Wireless Networks with User Abandonment Behavior- Rachid El-Azouzi, Krishna Acharya, Sudheer Poojary, Albert Sunny, Majed Haddad, Eitan Altman, Dimitrios Tsilimantos, Stefan Valentin. Wireless Communications and Networking Conference [WCNC 2019]

Online Learning Algorithms for Fair Ad Auctions- Krishna Acharya. Masters Thesis, École Normale Supérieure de Lyon, 2020