activity
20122023
most citedNew Analysis and Algorithm for Learning with Drifting Distributions

5 citations · 14 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2024

Auditing Privacy Mechanisms via Label Inference Attacks

Róbert István Busa-Fekete, Travis Dick, Claudio Gentile +3

We propose reconstruction advantage measures to audit label privatization mechanisms. A reconstruction advantage measure quantifies the increase in an attacker's ability to infer t…

cs.LG2023

Private and Communication-Efficient Algorithms for Entropy Estimation

Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh +2

Modern statistical estimation is often performed in a distributed setting where each sample belongs to a single user who shares their data with a central server. Users are typicall…

cs.LG20231 cited

Easy Learning from Label Proportions

Robert Istvan Busa-Fekete, Heejin Choi, Travis Dick +2

We consider the problem of Learning from Label Proportions (LLP), a weakly supervised classification setup where instances are grouped into "bags", and only the frequency of class…

astro-ph.HE20213 cited

Multi-messenger searches via IceCube's high-energy neutrinos and gravitational-wave detections of LIGO/Virgo

Doğa Veske, Raamis Hussain, Zsuzsa Márka +5

We summarize initial results for high-energy neutrino counterpart searches coinciding with gravitational-wave events in LIGO/Virgo's GWTC-2 catalog using IceCube's neutrino trigger…

cs.LG20143 cited

Revenue Optimization in Posted-Price Auctions with Strategic Buyers

Mehryar Mohri, Andres Muñoz Medina

We study revenue optimization learning algorithms for posted-price auctions with strategic buyers. We analyze a very broad family of monotone regret minimization algorithms for thi…

cs.LG20142 cited

Adaptation Algorithm and Theory Based on Generalized Discrepancy

Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina

We present a new algorithm for domain adaptation improving upon a discrepancy minimization algorithm previously shown to outperform a number of algorithms for this task. Unlike man…