114 citations · 379 across the 34 of their papers we have counts for
6 papers · 1 filter
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration
Gellért Weisz, András György, Csaba Szepesvári
We consider the problem of configuring general-purpose solvers to run efficiently on problem instances drawn from an unknown distribution. The goal of the configurator is to find a…
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
Timothy A. Mann, Sven Gowal, András György +4
Predicting delayed outcomes is an important problem in recommender systems (e.g., if customers will finish reading an ebook). We formalize the problem as an adversarial, delayed on…
Adaptive MCMC via Combining Local Samplers
Kiarash Shaloudegi, András György
Markov chain Monte Carlo (MCMC) methods are widely used in machine learning. One of the major problems with MCMC is the question of how to design chains that mix fast over the whol…
A Reinforcement Learning Approach to Age of Information in Multi-User Networks
Elif Tuğçe Ceran, Deniz Gündüz, András György
Scheduling the transmission of time-sensitive data to multiple users over error-prone communication channels is studied with the goal of minimizing the long-term average age of inf…
A Weakness Measure for GR(1) Formulae
Davide G. Cavezza, Dalal Alrajeh, András György
In spite of the theoretical and algorithmic developments for system synthesis in recent years, little effort has been dedicated to quantifying the quality of the specifications use…
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González, Andras Gyorgy +1
Machine learning has become an important component for many systems and applications including computer vision, spam filtering, malware and network intrusion detection, among other…