2 citations · 2 across the 6 of their papers we have counts for
9 papers
Entropy-rate as prediction method for newspapers and information diffusion
Andrea Russo, Antonio Picone, Vincenzo Miracula +2
This paper aims to show how some popular topics on social networks can be used to predict online newspaper views, related to the topics. Newspapers site and many social networks, b…
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure
Alessio Russo, Alexandre Proutiere
We investigate the sample complexity of learning the optimal arm for multi-task bandit problems. Arms consist of two components: one that is shared across tasks (that we call repre…
Self-Tuning Tube-based Model Predictive Control
Damianos Tranos, Alessio Russo, Alexandre Proutiere
We present Self-Tuning Tube-based Model Predictive Control (STT-MPC), an adaptive robust control algorithm for uncertain linear systems with additive disturbances based on the leas…
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes
Alessio Russo, Alexandre Proutiere
We investigate the problem of designing optimal stealthy poisoning attacks on the control channel of Markov decision processes (MDPs). This research is motivated by the recent inte…
Some Ethical Issues in the Review Process of Machine Learning Conferences
Alessio Russo
Recent successes in the Machine Learning community have led to a steep increase in the number of papers submitted to conferences. This increase made more prominent some of the issu…
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study
Alessio Russo, Marco Molinari, Alexandre Proutiere
This work investigates the feasibility of using input-output data-driven control techniques for building control and their susceptibility to data-poisoning techniques. The analysis…