Andres Muñoz Medina

24 papers A* 7A 2B 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2023 A conf
Differentially Private Continual Releases of Streaming Frequency Moment Estimations.
ITCS
Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
Differentially Private Continual Releases of Streaming Frequency Moment Estimations.
CoRR
Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
Measuring Re-identification Risk.
Proc. ACM Manag. Data
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
Private and Communication-Efficient Algorithms for Entropy Estimation.
CoRR
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Muñoz Medina, Umar Syed
2022 A* conf
A Joint Exponential Mechanism For Differentially Private Top-k.
ICML
Jennifer Gillenwater, Matthew Joseph, Andres Muñoz Medina, Mónica Ribero Diaz
2022 A* conf
Scalable Differentially Private Clustering via Hierarchically Separated Trees.
KDD
Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii
2022 J jnl
Scalable Differentially Private Clustering via Hierarchically Separated Trees.
CoRR
Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab S. Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii
2022 J jnl
Smooth Anonymity for Sparse Binary Matrices.
CoRR
Hossein Esfandiari, Alessandro Epasto, Vahab S. Mirrokni, Andres Muñoz Medina, Sergei Vassilvitskii
2019 A* conf
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy.
ICML
Kareem Amin, Alex Kulesza, Andres Muñoz Medina, Sergei Vassilvitskii
2019 A* conf
Differentially Private Covariance Estimation.
NeurIPS
Kareem Amin, Travis Dick, Alex Kulesza, Andres Muñoz Medina, Sergei Vassilvitskii
2017 — conf
Revenue Optimization with Approximate Bid Predictions.
NIPS
Andres Muñoz Medina, Sergei Vassilvitskii
2016 J jnl
Learning Algorithms for Second-Price Auctions with Reserve.
J. Mach. Learn. Res.
Mehryar Mohri, Andres Muñoz Medina
2016 A* conf
No-Regret Algorithms for Heavy-Tailed Linear Bandits.
ICML
Andres Muñoz Medina, Scott Yang
2015 A* conf
Adaptation Algorithm and Theory Based on Generalized Discrepancy.
KDD
Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
2015 J jnl
Non-parametric Revenue Optimization for Generalized Second Price Auctions.
CoRR
Mehryar Mohri, Andres Muñoz Medina
2015 A conf
Non-parametric Revenue Optimization for Generalized Second Price auctions..
UAI
Mehryar Mohri, Andres Muñoz Medina
2015 — conf
Revenue Optimization against Strategic Buyers.
NIPS
Mehryar Mohri, Andres Muñoz Medina
2014 J jnl
Adaptation Algorithm and Theory Based on Generalized Discrepancy.
CoRR
Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
2014 A* conf
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve.
ICML
Mehryar Mohri, Andres Muñoz Medina
2014 — conf
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers.
NIPS
Mehryar Mohri, Andres Muñoz Medina
2014 J jnl
Revenue Optimization in Posted-Price Auctions with Strategic Buyers.
CoRR
Mehryar Mohri, Andres Muñoz Medina
2013 J jnl
Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve.
CoRR
Mehryar Mohri, Andres Muñoz Medina
2012 J jnl
New Analysis and Algorithm for Learning with Drifting Distributions
CoRR
Mehryar Mohri, Andres Muñoz Medina
2012 B conf
New Analysis and Algorithm for Learning with Drifting Distributions.
ALT
Mehryar Mohri, Andres Muñoz Medina