Andres Muñoz Medina

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 16

Top Topics

Sealed Bid Auctions

Differentially Private

Regret Minimization

Learning Theory

Top Venues

Publications

Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. CoRR (2023)
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
Measuring Re-identification Risk. Proc. ACM Manag. Data 1 (2) (2023)
Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Muñoz Medina, Umar Syed
Private and Communication-Efficient Algorithms for Entropy Estimation. CoRR (2023)
Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. ITCS (2023)
Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii
Scalable Differentially Private Clustering via Hierarchically Separated Trees. KDD (2022)
Hossein Esfandiari, Alessandro Epasto, Vahab S. Mirrokni, Andres Muñoz Medina, Sergei Vassilvitskii
Smooth Anonymity for Sparse Binary Matrices. CoRR (2022)
Jennifer Gillenwater, Matthew Joseph, Andres Muñoz Medina, Mónica Ribero Diaz
A Joint Exponential Mechanism For Differentially Private Top-k. ICML (2022)
Kareem Amin, Travis Dick, Alex Kulesza, Andres Muñoz Medina, Sergei Vassilvitskii
Differentially Private Covariance Estimation. NeurIPS (2019)
Kareem Amin, Alex Kulesza, Andres Muñoz Medina, Sergei Vassilvitskii
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy. ICML (2019)
Andres Muñoz Medina, Sergei Vassilvitskii
Revenue Optimization with Approximate Bid Predictions. NIPS (2017)
Mehryar Mohri, Andres Muñoz Medina
Learning Algorithms for Second-Price Auctions with Reserve. J. Mach. Learn. Res. 17 (2016)
Andres Muñoz Medina, Scott Yang
No-Regret Algorithms for Heavy-Tailed Linear Bandits. ICML (2016)
Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
Adaptation Algorithm and Theory Based on Generalized Discrepancy. KDD (2015)
Mehryar Mohri, Andres Muñoz Medina
Non-parametric Revenue Optimization for Generalized Second Price Auctions. CoRR (2015)
Mehryar Mohri, Andres Muñoz Medina
Non-parametric Revenue Optimization for Generalized Second Price auctions.. UAI (2015)
Mehryar Mohri, Andres Muñoz Medina
Revenue Optimization against Strategic Buyers. NIPS (2015)
Mehryar Mohri, Andres Muñoz Medina
Revenue Optimization in Posted-Price Auctions with Strategic Buyers. CoRR (2014)
Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
Adaptation Algorithm and Theory Based on Generalized Discrepancy. CoRR (2014)
Mehryar Mohri, Andres Muñoz Medina
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve. ICML (2014)
Mehryar Mohri, Andres Muñoz Medina
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers. NIPS (2014)
Mehryar Mohri, Andres Muñoz Medina
Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve. CoRR (2013)
Mehryar Mohri, Andres Muñoz Medina
New Analysis and Algorithm for Learning with Drifting Distributions CoRR (2012)
Mehryar Mohri, Andres Muñoz Medina
New Analysis and Algorithm for Learning with Drifting Distributions. ALT (2012)