136 citations · 149 across the 12 of their papers we have counts for
5 papers · 1 filter
Structural Adversarial Attacks on Relational Deep Learning under Integrity Constraints
Alan Gany, Bogdan Cautis, Silviu Maniu
Relational Deep Learning (RDL) has become a standard methodology for machine learning on relational databases: the database is encoded as a heterogeneous temporal graph in which tu…
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
Maxime Méloux, Silviu Maniu, François Portet +1
As AI systems are used in high-stakes applications, ensuring interpretability is crucial. Mechanistic Interpretability (MI) aims to reverse-engineer neural networks by extracting h…
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs
Philips George John, Arnab Bhattacharyya, Silviu Maniu +2
Reinforcement learning algorithms are usually stated without theoretical guarantees regarding their performance. Recently, Jin, Yang, Wang, and Jordan (COLT 2020) showed a polynomi…
Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)
Alexandra Iacob, Bogdan Cautis, Silviu Maniu
Motivated by scenarios of information diffusion and advertising in social media, we study an influence maximization problem in which little is assumed to be known about the diffusi…
Bandits Under The Influence (Extended Version)
Silviu Maniu, Stratis Ioannidis, Bogdan Cautis
Recommender systems should adapt to user interests as the latter evolve. A prevalent cause for the evolution of user interests is the influence of their social circle. In general,…