Preprints
- GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation - Krishna Acharya, Aleksandr V. Petrov, Juba Ziani.
- Multi-Agent Performative Prediction Beyond the Insensitivity Assumption: A Case Study for Mortgage Competition- Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan, Vidya Muthukumar, Juba Ziani, 2025
Conference and Journal Articles
- 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)
Manuscripts
- Personalized Differential Privacy for Ridge Regression- Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani. Privacy Regulation and Protection workshop ICLR 2024
- Approximation of Banzhaf indices and its application to voting games- Krishna Acharya, Himadri Mukherjee, Jajati Keshari Sahoo, 2020
Theses
- Online Learning Algorithms for Fair Ad Auctions- Krishna Acharya. Masters Thesis, École Normale Supérieure de Lyon, 2020