Virginia Bordignon

45 papers Misc 11Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Doubly Adaptive Social Learning. IEEE Trans. Signal Process. Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Adaptive Social Learning for Slow Markov Chains. IEEE Trans. Signal Process. Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Doubly Adaptive Social Learning. CoRR Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	Misc	`conf`	Fundamental Social Learning Scaling Law for Tracking Hidden Markov Models. ICASSP Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Non-asymptotic performance of social machine learning under limited data. Signal Process. Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
2024	—	`conf`	Adaptive Social Learning for Tracking Rare Transition Markov Chains. EUSIPCO Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2024	Misc	`conf`	Social Learning with Adaptive Models. ICASSP Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2024	J	`jnl`	Social Opinion Formation and Decision Making Under Communication Trends. IEEE Trans. Signal Process. Mert Kayaalp, Virginia Bordignon, Ali H. Sayed
2024	J	`jnl`	Socially Intelligent Networks: A framework for decision making over graphs. IEEE Signal Process. Mag. Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	Asynchronous Social Learning. ICASSP Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, Ali H. Sayed
2023	J	`jnl`	Learning From Heterogeneous Data Based on Social Interactions Over Graphs. IEEE Trans. Inf. Theory Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Memory-Aware Social Learning Under Partial Information Sharing. IEEE Trans. Signal Process. Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2023	J	`jnl`	Non-Asymptotic Performance of Social Machine Learning Under Limited Data. CoRR Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
2023	J	`jnl`	Optimal Aggregation Strategies for Social Learning Over Graphs. IEEE Trans. Inf. Theory Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2023	J	`jnl`	Partial Information Sharing Over Social Learning Networks. IEEE Trans. Inf. Theory Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	Performance of Social Machine Learning Under Limited Data. ICASSP Ping Hu, Virginia Bordignon, Mert Kayaalp, Ali H. Sayed
2023	J	`jnl`	Self-Aware Social Learning Over Graphs. IEEE Trans. Inf. Theory Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2023	—	`conf`	Social Learning with Non-Bayesian Local Updates. EUSIPCO Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed
2023	Misc	`conf`	The Role of Memory in Social Learning When Sharing Partial Opinions. ICASSP Michele Cirillo, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2022	Misc	`conf`	Decentralized Learning in the Presence of Low-Rank Noise. ICASSP Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Dencentralized learning in the presence of low-rank noise. CoRR Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Distributed Bayesian Learning of Dynamic States. CoRR Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2022	—	`—`	Opinion Formation over Adaptive Networks. Virginia Bordignon
2022	J	`jnl`	Optimal Aggregation Strategies for Social Learning over Graphs. CoRR Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	Misc	`conf`	Optimal Combination Policies for Adaptive Social Learning. ICASSP Ping Hu, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	J	`jnl`	Random Information Sharing over Social Networks. CoRR Mert Kayaalp, Virginia Bordignon, Ali H. Sayed
2022	—	`conf`	Social Learning with Disparate Hypotheses. EUSIPCO Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Adaptive Social Learning. IEEE Trans. Inf. Theory Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2021	J	`jnl`	Deception in Social Learning. CoRR Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Hidden Markov Modeling over Graphs. CoRR Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	J	`jnl`	Learning from Heterogeneous Data Based on Social Interactions over Graphs. CoRR Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2021	Misc	`conf`	Network Classifiers Based on Social Learning. ICASSP Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2021	J	`jnl`	Self-aware Social Learning over Graphs. CoRR Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2021	Misc	`conf`	Social Learning Under Inferential Attacks. ICASSP Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2020	—	`conf`	Adaptation in Online Social Learning. EUSIPCO Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Adaptation in Online Social Learning. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Adaptive Social Learning. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	Misc	`conf`	Learning Graph Influence from Social Interactions. ICASSP Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
2020	J	`jnl`	Learning Graph Influence from Social Interactions. CoRR Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
2020	J	`jnl`	Network Classifiers Based on Social Learning. CoRR Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2020	Misc	`conf`	Social Learning with Partial Information Sharing. ICASSP Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Social Learning with Partial Information Sharing. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
2020	J	`jnl`	Social learning under inferential attacks. CoRR Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Interplay between Topology and Social Learning over Weak Graphs. CoRR Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
2019	J	`jnl`	Social Learning with Partial Information Sharing. CoRR Virginia Bordignon, Vincenzo Matta, Ali H. Sayed