Active Learning on Trees and Graphs. - Nicolò Cesa-Bianchi; Claudio Gentile; Fabio Vitale; Giovanni Zappella (COLT, 2010)

Random Spanning Trees and the Prediction of Weighted Graphs. - Nicolò Cesa-Bianchi; Claudio Gentile; Fabio Vitale; Giovanni Zappella (ICML, 2010)

See the Tree Through the Lines: The Shazoo Algorithm. - Fabio Vitale; Nicolò Cesa-Bianchi; Claudio Gentile; Giovanni Zappella (NIPS, 2011)

A Scalable Multiclass Algorithm for Node Classification - Giovanni Zappella (CoRR, 2011)

An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. - Omar Ali; Giovanni Zappella; Tijl De Bie; Nello Cristianini (ICPRAM (2), 2012)

A Linear Time Active Learning Algorithm for Link Classification. - Nicolò Cesa-Bianchi; Claudio Gentile; Fabio Vitale; Giovanni Zappella (NIPS, 2012)

A Correlation Clustering Approach to Link Classification in Signed Networks. - Nicolò Cesa-Bianchi; Claudio Gentile; Fabio Vitale; Giovanni Zappella (COLT, 2012)

Modelling political disaffection from Twitter data. - Corrado Monti; Alessandro Rozza; Giovanni Zappella; Matteo Zignani; Adam Arvidsson; Elanor Colleoni (WISDOM, 2013)

A Gang of Bandits. - Nicolò Cesa-Bianchi; Claudio Gentile; Giovanni Zappella (NIPS, 2013)

Political Disaffection: a case study on the Italian Twitter community - Corrado Monti; Alessandro Rozza; Giovanni Zappella; Matteo Zignani; Adam Arvidsson; Monica Poletti (CoRR, 2013)

Random spanning trees and the prediction ofweighted graphs. - Nicolò Cesa-Bianchi; Claudio Gentile; Fabio Vitale; Giovanni Zappella (J. Mach. Learn. Res., 2013)

Online Clustering of Bandits. - Claudio Gentile; Shuai Li; Giovanni Zappella (ICML, 2014)

Data-Dependent Clustering in Exploration-Exploitation Algorithms. - Shuai Li 011; Claudio Gentile; Alexandros Karatzoglou; Giovanni Zappella (CoRR, 2015)

Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. - Shuai Li 011; Claudio Gentile; Alexandros Karatzoglou; Giovanni Zappella (CoRR, 2016)

On Context-Dependent Clustering of Bandits. - Claudio Gentile; Shuai Li 011; Purushottam Kar; Alexandros Karatzoglou; Giovanni Zappella; Evans Etrue (ICML, 2017)

Contextual Bandits under Delayed Feedback. - Claire Vernade; Alexandra Carpentier; Giovanni Zappella; Beyza Ermis; Michael Brückner (CoRR, 2018)

Learning to Rank in the Position Based Model with Bandit Feedback. - Beyza Ermis; Patrick Ernst; Yannik Stein; Giovanni Zappella (CIKM, 2020)

Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. - Fabian Moerchen; Patrick Ernst; Giovanni Zappella (CIKM, 2020)

Linear bandits with Stochastic Delayed Feedback. - Claire Vernade; Alexandra Carpentier; Tor Lattimore; Giovanni Zappella; Beyza Ermis; Michael Brückner (ICML, 2020)

A Linear Bandit for Seasonal Environments. - Giuseppe Di Benedetto; Vito Bellini; Giovanni Zappella (CoRR, 2020)

Amazon SageMaker Autopilot: a white box AutoML solution at scale. - Piali Das; Valerio Perrone; Nikita Ivkin; Tanya Bansal; Zohar S. Karnin; Huibin Shen; Iaroslav Shcherbatyi; Yotam Elor; Wilton Wu; Aida Zolic; Thibaut Liénart; Alex Tang; et al. (CoRR, 2020)

Towards robust episodic meta-learning. - Beyza Ermis; Giovanni Zappella; Cédric Archambeau (UAI, 2021)

A resource-efficient method for repeated HPO and NAS problems. - Giovanni Zappella; David Salinas; Cédric Archambeau (CoRR, 2021)

Gradient-matching coresets for continual learning. - Lukas Balles; Giovanni Zappella; Cédric Archambeau (CoRR, 2021)

Continual Learning with Transformers for Image Classification. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Aditya Rawal; Cédric Archambeau (CVPR Workshops, 2022)

Memory Efficient Continual Learning with Transformers. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Aditya Rawal; Cédric Archambeau (NeurIPS, 2022)

Memory Efficient Continual Learning for Neural Text Classification. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Cédric Archambeau (CoRR, 2022)

Gradient-Matching Coresets for Rehearsal-Based Continual Learning. - Lukas Balles; Giovanni Zappella; Cédric Archambeau (CoRR, 2022)

PASHA: Efficient HPO with Progressive Resource Allocation. - Ondrej Bohdal; Lukas Balles; Beyza Ermis; Cédric Archambeau; Giovanni Zappella (CoRR, 2022)

PASHA: Efficient HPO and NAS with Progressive Resource Allocation. - Ondrej Bohdal; Lukas Balles; Martin Wistuba; Beyza Ermis; Cédric Archambeau; Giovanni Zappella (ICLR, 2023)

Renate: A Library for Real-World Continual Learning. - Martin Wistuba; Martin Ferianc; Lukas Balles; Cédric Archambeau; Giovanni Zappella (CoRR, 2023)

Continual Learning with Low Rank Adaptation. - Martin Wistuba; Prabhu Teja Sivaprasad; Lukas Balles; Giovanni Zappella (CoRR, 2023)

A Negative Result on Gradient Matching for Selective Backprop. - Lukas Balles; Cédric Archambeau; Giovanni Zappella (CoRR, 2023)

Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need. - Martin Wistuba; Prabhu Teja Sivaprasad; Lukas Balles; Giovanni Zappella (CoRR, 2024)

Cost-Effective Hallucination Detection for LLMs. - Simon Valentin; Jinmiao Fu; Gianluca Detommaso; Shaoyuan Xu; Giovanni Zappella; Bryan Wang (CoRR, 2024)

Hyperband-based Bayesian Optimization for Black-box Prompt Selection. - Lennart Schneider; Martin Wistuba; Aaron Klein; Jacek Golebiowski; Giovanni Zappella; Felice Antonio Merra (CoRR, 2024)

CoRet: Improved Retriever for Code Editing. - Fabio Fehr; Prabhu Teja Sivaprasad; Luca Franceschi 003; Giovanni Zappella (ACL (2), 2025)

SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents. - Muhammad Shihab Rashid; Christian Bock; Yuan Zhuang; Alexander Buchholz; Timothy B. Esler; Simon Valentin; Luca Franceschi 003; Martin Wistuba; Prabhu Teja Sivaprasad; Woo Jung Kim; Anoop Deoras; Giovanni Zappella; et al. (CoRR, 2025)