Giovanni Zappella

49 papers A* 9A 3Journal 30Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CoRet: Improved Retriever for Code Editing. ACL (2) Fabio Fehr, Prabhu Teja Sivaprasad, Luca Franceschi, Giovanni Zappella
2025	J	`jnl`	CoRet: Improved Retriever for Code Editing. CoRR Fabio Fehr, Prabhu Teja Sivaprasad, Luca Franceschi, Giovanni Zappella
2025	A*	`conf`	Hyperband-based Bayesian Optimization for Black-box Prompt Selection. ICML Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra
2025	J	`jnl`	SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents. CoRR Muhammad Shihab Rashid, Christian Bock, Yuan Zhuang, Alexander Buchholz, Timothy B. Esler, Simon Valentin, Luca Franceschi, Martin Wistuba, Prabhu Teja Sivaprasad, Woo Jung Kim, Anoop Deoras, Giovanni Zappella, Laurent Callot
2024	J	`jnl`	Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need. CoRR Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella
2024	J	`jnl`	Cost-Effective Hallucination Detection for LLMs. CoRR Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella, Bryan Wang
2024	J	`jnl`	Hyperband-based Bayesian Optimization for Black-box Prompt Selection. CoRR Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra
2023	J	`jnl`	A Negative Result on Gradient Matching for Selective Backprop. CoRR Lukas Balles, Cédric Archambeau, Giovanni Zappella
2023	J	`jnl`	Continual Learning with Low Rank Adaptation. CoRR Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella
2023	A*	`conf`	PASHA: Efficient HPO and NAS with Progressive Resource Allocation. ICLR Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cédric Archambeau, Giovanni Zappella
2023	J	`jnl`	Renate: A Library for Real-World Continual Learning. CoRR Martin Wistuba, Martin Ferianc, Lukas Balles, Cédric Archambeau, Giovanni Zappella
2022	—	`conf`	Continual Learning with Transformers for Image Classification. CVPR Workshops Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	Continual Learning with Transformers for Image Classification. CoRR Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	Gradient-Matching Coresets for Rehearsal-Based Continual Learning. CoRR Lukas Balles, Giovanni Zappella, Cédric Archambeau
2022	J	`jnl`	Memory Efficient Continual Learning for Neural Text Classification. CoRR Beyza Ermis, Giovanni Zappella, Martin Wistuba, Cédric Archambeau
2022	A*	`conf`	Memory Efficient Continual Learning with Transformers. NeurIPS Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau
2022	J	`jnl`	PASHA: Efficient HPO with Progressive Resource Allocation. CoRR Ondrej Bohdal, Lukas Balles, Beyza Ermis, Cédric Archambeau, Giovanni Zappella
2021	J	`jnl`	A resource-efficient method for repeated HPO and NAS problems. CoRR Giovanni Zappella, David Salinas, Cédric Archambeau
2021	J	`jnl`	Gradient-matching coresets for continual learning. CoRR Lukas Balles, Giovanni Zappella, Cédric Archambeau
2021	A	`conf`	Towards robust episodic meta-learning. UAI Beyza Ermis, Giovanni Zappella, Cédric Archambeau
2020	J	`jnl`	A Linear Bandit for Seasonal Environments. CoRR Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella
2020	J	`jnl`	Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR 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, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel
2020	A	`conf`	Learning to Rank in the Position Based Model with Bandit Feedback. CIKM Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
2020	J	`jnl`	Learning to Rank in the Position Based Model with Bandit Feedback. CoRR Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
2020	A*	`conf`	Linear bandits with Stochastic Delayed Feedback. ICML Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner
2020	A	`conf`	Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. CIKM Fabian Moerchen, Patrick Ernst, Giovanni Zappella
2018	J	`jnl`	Contextual Bandits under Delayed Feedback. CoRR Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner
2017	A*	`conf`	On Context-Dependent Clustering of Bandits. ICML Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue
2016	J	`jnl`	Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. CoRR Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella
2015	J	`jnl`	Data-Dependent Clustering in Exploration-Exploitation Algorithms. CoRR Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella
2014	A*	`conf`	Online Clustering of Bandits. ICML Claudio Gentile, Shuai Li, Giovanni Zappella
2014	J	`jnl`	Online Clustering of Bandits. CoRR Claudio Gentile, Shuai Li, Giovanni Zappella
2013	J	`jnl`	A Correlation Clustering Approach to Link Classification in Signed Networks CoRR Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2013	—	`conf`	A Gang of Bandits. NIPS Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
2013	J	`jnl`	A Gang of Bandits. CoRR Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
2013	J	`jnl`	A Linear Time Active Learning Algorithm for Link Classification CoRR Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2013	J	`jnl`	Active Learning on Trees and Graphs CoRR Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2013	—	`conf`	Modelling political disaffection from Twitter data. WISDOM Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani, Adam Arvidsson, Elanor Colleoni
2013	J	`jnl`	Political Disaffection: a case study on the Italian Twitter community CoRR Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani, Adam Arvidsson, Monica Poletti
2013	J	`jnl`	Random spanning trees and the prediction ofweighted graphs. J. Mach. Learn. Res. Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2013	J	`jnl`	See the Tree Through the Lines: The Shazoo Algorithm CoRR Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
2012	A*	`conf`	A Correlation Clustering Approach to Link Classification in Signed Networks. COLT Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2012	—	`conf`	A Linear Time Active Learning Algorithm for Link Classification. NIPS Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2012	—	`conf`	An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. ICPRAM (2) Omar Ali, Giovanni Zappella, Tijl De Bie, Nello Cristianini
2012	J	`jnl`	Random Spanning Trees and the Prediction of Weighted Graphs CoRR Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2011	J	`jnl`	A Scalable Multiclass Algorithm for Node Classification CoRR Giovanni Zappella
2011	—	`conf`	See the Tree Through the Lines: The Shazoo Algorithm. NIPS Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
2010	A*	`conf`	Active Learning on Trees and Graphs. COLT Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2010	A*	`conf`	Random Spanning Trees and the Prediction of Weighted Graphs. ICML Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella