Wealth Dynamics Over Generations: Analysis and Interventions. - Krishna Acharya; Eshwar Ram Arunachaleswaran; Sampath Kannan; Aaron Roth 001; Juba Ziani (SaTML, 2023)

Oracle Efficient Algorithms for Groupwise Regret. - Krishna Acharya; Eshwar Ram Arunachaleswaran; Sampath Kannan; Aaron Roth 001; Juba Ziani (ICLR, 2024)

One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits. - Etash Guha; Jim James; Krishna Acharya; Vidya Muthukumar; Ashwin Pananjady (UAI, 2024)

Personalized Differential Privacy for Ridge Regression. - Krishna Acharya; Franziska Boenisch; Rakshit Naidu; Juba Ziani (CoRR, 2024)

Improving Minimax Group Fairness in Sequential Recommendation. - Krishna Acharya; David Wardrope; Timos Korres; Aleksandr V. Petrov; Anders Uhrenholt (ECIR (4), 2025)

Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems. - Krishna Acharya; Juba Ziani; Jingyan Wang 001; Varun Vangala (Trans. Mach. Learn. Res., 2025)

Multi-Agent Performative Prediction Beyond the Insensitivity Assumption: A Case Study for Mortgage Competition. - Guanghui Wang; Krishna Acharya; Lokranjan Lakshmikanthan; Vidya Muthukumar; Juba Ziani (CoRR, 2025)

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation. - Krishna Acharya; Aleksandr V. Petrov; Juba Ziani (CoRR, 2025)