| 2022 | ICML | A Joint Exponential Mechanism For Differentially Private Top-k. | Jennifer Gillenwater, Matthew Joseph, Andres Muoz Medina, Mnica Ribero Diaz |
| 2022 | KDD | Scalable Differentially Private Clustering via Hierarchically Separated Trees. | Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii |
| 2019 | ICML | Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy. | Kareem Amin, Alex Kulesza, Andres Muoz Medina, Sergei Vassilvitskii |
| 2016 | ICML | No-Regret Algorithms for Heavy-Tailed Linear Bandits. | Andres Muoz Medina, Scott Yang |
| 2015 | KDD | Adaptation Algorithm and Theory Based on Generalized Discrepancy. | Corinna Cortes, Mehryar Mohri, Andres Muoz Medina |
| 2015 | UAI | Non-parametric Revenue Optimization for Generalized Second Price auctions.. | Mehryar Mohri, Andres Muoz Medina |
| 2014 | ICML | Learning Theory and Algorithms for revenue optimization in second price auctions with reserve. | Mehryar Mohri, Andres Muoz Medina |
| 2012 | ALT | New Analysis and Algorithm for Learning with Drifting Distributions. | Mehryar Mohri, Andres Muoz Medina |