Francesco Orabona

160 papers A* 36A 6B 6C 1Journal 85Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning. EACL (Findings) Sultan AlRashed, Jianghui Wang, Francesco Orabona
2026	J	`jnl`	Nonparametric Teaching of Attention Learners. CoRR Chen Zhang, Jianghui Wang, Bingyang Cheng, Zhongtao Chen, Wendong Xu, Cong Wang, Marco Canini, Francesco Orabona, Yik Chung Wu, Ngai Wong
2026	J	`jnl`	Online Conformal Prediction via Universal Portfolio Algorithms. CoRR Tuo Liu, Edgar Dobriban, Francesco Orabona
2025	J	`jnl`	A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates. CoRR Wei-Cheng Lee, Francesco Orabona
2025	J	`jnl`	A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections nor Strong Convexity. CoRR Wei-Cheng Lee, Francesco Orabona
2025	A*	`conf`	A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO. ICML Xingyu Zhou, Yulian Wu, Francesco Orabona
2025	J	`jnl`	A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO. CoRR Xingyu Zhou, Yulian Wu, Francesco Orabona
2025	A*	`conf`	ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. ICML Arto Maranjyan, El Mehdi Saad, Peter Richtárik, Francesco Orabona
2025	J	`jnl`	ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. CoRR Artavazd Maranjyan, El Mehdi Saad, Peter Richtárik, Francesco Orabona
2025	J	`jnl`	AraMix: Recycling, Refiltering, and Deduplicating to Deliver the Largest Arabic Pretraining Corpus. CoRR Sultan AlRashed, Francesco Orabona
2025	J	`jnl`	Beyond the Ideal: Analyzing the Inexact Muon Update. CoRR Egor Shulgin, Sultan AlRashed, Francesco Orabona, Peter Richtárik
2025	J	`jnl`	Dynamic Regret Reduces to Kernelized Static Regret. CoRR Andrew Jacobsen, Alessandro Rudi, Francesco Orabona, Nicolò Cesa-Bianchi
2025	A*	`conf`	New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition. COLT El Mehdi Saad, Wei-Cheng Lee, Francesco Orabona
2025	J	`jnl`	New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Composition. CoRR El Mehdi Saad, Weicheng Lee, Francesco Orabona
2025	J	`jnl`	New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results. CoRR Francesco Orabona, Ryan D'Orazio
2025	J	`jnl`	Offline and Online KL-Regularized RLHF under Differential Privacy. CoRR Yulian Wu, Rushil Thareja, Praneeth Vepakomma, Francesco Orabona
2025	J	`jnl`	Optimal Regret of Bernoulli Bandits under Global Differential Privacy. CoRR Achraf Azize, Yulian Wu, Junya Honda, Francesco Orabona, Shinji Ito, Debabrota Basu
2025	J	`jnl`	Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track. CoRR Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho
2025	J	`jnl`	STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals. CoRR Václav Vorácek, Francesco Orabona
2025	B	`conf`	Self-Directed Node Classification on Graphs. ALT Georgy Sokolov, Maximilian Thiessen, Margarita Akhmejanova, Fabio Vitale, Francesco Orabona
2025	J	`jnl`	SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data. CoRR Sultan AlRashed, Chadi Helwe, Francesco Orabona
2025	J	`jnl`	SquareχPO: Differentially Private and Robust χ CoRR Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona
2025	A*	`conf`	SquareχPO: Differentially Private and Robust χ2-Preference Optimization in Offline Direct Alignment. ICML Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona
2024	A*	`conf`	An Equivalence Between Static and Dynamic Regret Minimization. NeurIPS Andrew Jacobsen, Francesco Orabona
2024	J	`jnl`	An Equivalence Between Static and Dynamic Regret Minimization. CoRR Andrew Jacobsen, Francesco Orabona
2024	A*	`conf`	Better-than-KL PAC-Bayes Bounds. COLT Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona
2024	J	`jnl`	Better-than-KL PAC-Bayes Bounds. CoRR Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona
2024	J	`jnl`	Self-Directed Learning of Convex Labelings on Graphs. CoRR Georgy Sokolov, Maximilian Thiessen, Margarita Akhmejanova, Fabio Vitale, Francesco Orabona
2024	J	`jnl`	Tight Concentrations and Confidence Sequences From the Regret of Universal Portfolio. IEEE Trans. Inf. Theory Francesco Orabona, Kwang-Sung Jun
2024	A*	`conf`	Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion. ICLR Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Rätsch, Hadi Daneshmand
2023	A*	`conf`	Generalized Implicit Follow-The-Regularized-Leader. ICML Keyi Chen, Francesco Orabona
2023	J	`jnl`	Generalized Implicit Follow-The-Regularized-Leader. CoRR Keyi Chen, Francesco Orabona
2023	J	`jnl`	Implicit Interpretation of Importance Weight Aware Updates. CoRR Keyi Chen, Francesco Orabona
2023	B	`ed.`	International Conference on Algorithmic Learning Theory, February 20-23, 2023, Singapore. ALT Shipra Agrawal, Francesco Orabona
2023	J	`jnl`	Normalized Gradients for All. CoRR Francesco Orabona
2023	A*	`conf`	Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion. ICML Ashok Cutkosky, Harsh Mehta, Francesco Orabona
2023	J	`jnl`	Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion. CoRR Ashok Cutkosky, Harsh Mehta, Francesco Orabona
2023	A*	`conf`	Tighter PAC-Bayes Bounds Through Coin-Betting. COLT Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona
2023	J	`jnl`	Tighter PAC-Bayes Bounds Through Coin-Betting. CoRR Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona
2023	J	`jnl`	Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion. CoRR Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Rätsch, Hadi Daneshmand
2022	A*	`conf`	Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting. AAAI Keyi Chen, John Langford, Francesco Orabona
2022	B	`conf`	Implicit Parameter-free Online Learning with Truncated Linear Models. ALT Keyi Chen, Ashok Cutkosky, Francesco Orabona
2022	J	`jnl`	Implicit Parameter-free Online Learning with Truncated Linear Models. CoRR Keyi Chen, Ashok Cutkosky, Francesco Orabona
2022	B	`conf`	On the Initialization for Convex-Concave Min-max Problems. ALT Mingrui Liu, Francesco Orabona
2022	B	`conf`	On the Last Iterate Convergence of Momentum Methods. ALT Xiaoyu Li, Mingrui Liu, Francesco Orabona
2022	A*	`conf`	Robustness to Unbounded Smoothness of Generalized SignSGD. NeurIPS Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
2022	J	`jnl`	Robustness to Unbounded Smoothness of Generalized SignSGD. CoRR Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
2022	J	`jnl`	Understanding AdamW through Proximal Methods and Scale-Freeness. CoRR Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona
2022	J	`jnl`	Understanding AdamW through Proximal Methods and Scale-Freeness. Trans. Mach. Learn. Res. Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona
2021	J	`jnl`	A Parameter-free Algorithm for Convex-concave Min-max Problems. CoRR Mingrui Liu, Francesco Orabona
2021	A*	`conf`	A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance. ICML Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona
2021	J	`jnl`	A closer look at temporal variability in dynamic online learning. CoRR Nicolò Campolongo, Francesco Orabona
2021	A*	`conf`	Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. NeurIPS Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy
2021	J	`jnl`	Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. CoRR Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy
2021	J	`jnl`	On the Last Iterate Convergence of Momentum Methods. CoRR Xiaoyu Li, Mingrui Liu, Francesco Orabona
2021	A*	`conf`	Online Learning with Optimism and Delay. ICML Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021	J	`jnl`	Online Learning with Optimism and Delay. CoRR Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021	J	`jnl`	Parameter-free Stochastic Optimization of Variationally Coherent Functions. CoRR Francesco Orabona, Dávid Pál
2021	J	`jnl`	Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio. CoRR Francesco Orabona, Kwang-Sung Jun
2020	J	`jnl`	A High Probability Analysis of Adaptive SGD with Momentum. CoRR Xiaoyu Li, Francesco Orabona
2020	J	`jnl`	Adam CoRR Mingrui Liu, Wei Zhang, Francesco Orabona, Tianbao Yang
2020	J	`jnl`	Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting. CoRR Keyi Chen, John Langford, Francesco Orabona
2020	J	`jnl`	Exponential Step Sizes for Non-Convex Optimization. CoRR Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona
2020	A*	`conf`	Temporal Variability in Implicit Online Learning. NeurIPS Nicolò Campolongo, Francesco Orabona
2020	J	`jnl`	Temporal Variability in Implicit Online Learning. CoRR Nicolò Campolongo, Francesco Orabona
2019	J	`jnl`	A Modern Introduction to Online Learning. CoRR Francesco Orabona
2019	J	`jnl`	High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
2019	A*	`conf`	Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration. NeurIPS Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona
2019	J	`jnl`	Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration. CoRR Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona
2019	A*	`conf`	Momentum-Based Variance Reduction in Non-Convex SGD. NeurIPS Ashok Cutkosky, Francesco Orabona
2019	J	`jnl`	Momentum-Based Variance Reduction in Non-Convex SGD. CoRR Ashok Cutkosky, Francesco Orabona
2019	A	`conf`	On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes. AISTATS Xiaoyu Li, Francesco Orabona
2019	J	`jnl`	Parameter-Free Locally Differentially Private Stochastic Subgradient Descent. CoRR Kwang-Sung Jun, Francesco Orabona
2019	A*	`conf`	Parameter-Free Online Convex Optimization with Sub-Exponential Noise. COLT Kwang-Sung Jun, Francesco Orabona
2019	J	`jnl`	Parameter-free Online Convex Optimization with Sub-Exponential Noise. CoRR Kwang-Sung Jun, Francesco Orabona
2019	A*	`conf`	Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization. ICML Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona
2019	J	`jnl`	Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization. CoRR Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona
2018	A*	`conf`	Black-Box Reductions for Parameter-free Online Learning in Banach Spaces. COLT Ashok Cutkosky, Francesco Orabona
2018	J	`jnl`	Black-Box Reductions for Parameter-free Online Learning in Banach Spaces. CoRR Ashok Cutkosky, Francesco Orabona
2018	J	`jnl`	On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes. CoRR Xiaoyu Li, Francesco Orabona
2018	J	`jnl`	Scale-free online learning. Theor. Comput. Sci. Francesco Orabona, Dávid Pál
2017	J	`jnl`	Backprop without Learning Rates Through Coin Betting. CoRR Francesco Orabona, Tatiana Tommasi
2017	J	`jnl`	Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret. CoRR Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
2017	A*	`conf`	Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. ICML Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
2017	J	`jnl`	Fast rates by transferring from auxiliary hypotheses. Mach. Learn. Ilja Kuzborskij, Francesco Orabona
2017	A	`conf`	Improved Strongly Adaptive Online Learning using Coin Betting. AISTATS Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
2017	J	`jnl`	Online Learning for Changing Environments using Coin Betting. CoRR Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
2017	J	`jnl`	Scalable greedy algorithms for transfer learning. Comput. Vis. Image Underst. Ilja Kuzborskij, Francesco Orabona, Barbara Caputo
2017	—	`conf`	Training Deep Networks without Learning Rates Through Coin Betting. NIPS Francesco Orabona, Tatiana Tommasi
2016	—	`conf`	Coin Betting and Parameter-Free Online Learning. NIPS Francesco Orabona, Dávid Pál
2016	J	`jnl`	From Coin Betting to Parameter-Free Online Learning. CoRR Francesco Orabona, Dávid Pál
2016	J	`jnl`	High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
2016	J	`jnl`	Improved Strongly Adaptive Online Learning using Coin Betting. CoRR Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen J. Wright
2016	A*	`conf`	Open Problem: Parameter-Free and Scale-Free Online Algorithms. COLT Francesco Orabona, Dávid Pál
2016	—	`conf`	Parameter-Free Convex Learning through Coin Betting. AutoML@ICML Francesco Orabona, Dávid Pál
2016	J	`jnl`	Scale-Free Online Learning. CoRR Francesco Orabona, Dávid Pál
2016	A*	`conf`	Solving Ridge Regression using Sketched Preconditioned SVRG. ICML Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz
2016	J	`jnl`	Solving Ridge Regression using Sketched Preconditioned SVRG. CoRR Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz
2015	J	`jnl`	A Simple Expression for Mill's Ratio of the Student's t-Distribution. CoRR Francesco Orabona
2015	J	`jnl`	A generalized online mirror descent with applications to classification and regression. Mach. Learn. Francesco Orabona, Koby Crammer, Nicolò Cesa-Bianchi
2015	J	`jnl`	Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice. CoRR Francesco Orabona, Dávid Pál
2015	B	`conf`	Scale-Free Algorithms for Online Linear Optimization. ALT Francesco Orabona, Dávid Pál
2015	J	`jnl`	Scale-Free Algorithms for Online Linear Optimization. CoRR Francesco Orabona, Dávid Pál
2015	A*	`conf`	The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams. ICDM Rocco De Rosa, Francesco Orabona, Nicolò Cesa-Bianchi
2015	J	`jnl`	The ABACOC Algorithm: a Novel Approach for Nonparametric Classification of Data Streams. CoRR Rocco De Rosa, Francesco Orabona, Nicolò Cesa-Bianchi
2015	—	`conf`	Transfer Learning Through Greedy Subset Selection. ICIAP (1) Ilja Kuzborskij, Francesco Orabona, Barbara Caputo
2014	J	`jnl`	Learning Categories From Few Examples With Multi Model Knowledge Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2014	J	`jnl`	Learning by Transferring from Auxiliary Hypotheses. CoRR Ilja Kuzborskij, Francesco Orabona
2014	A*	`conf`	On Measure Concentration of Random Maximum A-Posteriori Perturbations. ICML Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola
2014	J	`jnl`	On multilabel classification and ranking with bandit feedback. J. Mach. Learn. Res. Claudio Gentile, Francesco Orabona
2014	—	`conf`	Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning. NIPS Francesco Orabona
2014	J	`jnl`	Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning. CoRR Francesco Orabona
2014	J	`jnl`	Transfer Learning through Greedy Subset Selection. CoRR Ilja Kuzborskij, Barbara Caputo, Francesco Orabona
2014	A*	`conf`	Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations. COLT H. Brendan McMahan, Francesco Orabona
2014	J	`jnl`	Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations. CoRR H. Brendan McMahan, Francesco Orabona
2013	J	`jnl`	A Generalized Online Mirror Descent with Applications to Classification and Regression CoRR Francesco Orabona, Koby Crammer, Nicolò Cesa-Bianchi
2013	—	`conf`	Dimension-Free Exponentiated Gradient. NIPS Francesco Orabona
2013	A*	`conf`	From N to N+1: Multiclass Transfer Incremental Learning. CVPR Ilja Kuzborskij, Francesco Orabona, Barbara Caputo
2013	J	`jnl`	Improving Control of Dexterous Hand Prostheses Using Adaptive Learning. IEEE Trans. Robotics Tatiana Tommasi, Francesco Orabona, Claudio Castellini, Barbara Caputo
2013	C	`conf`	Multiclass Latent Locally Linear Support Vector Machines. ACML Marco Fornoni, Barbara Caputo, Francesco Orabona
2013	J	`jnl`	On Measure Concentration of Random Maximum A-Posteriori Perturbations. CoRR Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola
2013	—	`conf`	Regression-tree Tuning in a Streaming Setting. NIPS Samory Kpotufe, Francesco Orabona
2013	—	`conf`	Stability and Hypothesis Transfer Learning. ICML (3) Ilja Kuzborskij, Francesco Orabona
2012	A	`conf`	Beyond Logarithmic Bounds in Online Learning. AISTATS Francesco Orabona, Nicolò Cesa-Bianchi, Claudio Gentile
2012	A	`conf`	Leveraging over prior knowledge for online learning of visual categories. BMVC Tatiana Tommasi, Francesco Orabona, Mohsen Kaboli, Barbara Caputo
2012	J	`jnl`	Multi Kernel Learning with Online-Batch Optimization. J. Mach. Learn. Res. Francesco Orabona, Jie Luo, Barbara Caputo
2012	J	`jnl`	On Multilabel Classification and Ranking with Partial Feedback CoRR Claudio Gentile, Francesco Orabona
2012	—	`conf`	On Multilabel Classification and Ranking with Partial Feedback. NIPS Claudio Gentile, Francesco Orabona
2012	J	`jnl`	PRISMA: PRoximal Iterative SMoothing Algorithm CoRR Francesco Orabona, Andreas Argyriou, Nathan Srebro
2011	A*	`conf`	Better Algorithms for Selective Sampling. ICML Francesco Orabona, Nicolò Cesa-Bianchi
2011	A*	`conf`	Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning. ICML Francesco Orabona, Jie Luo
2010	J	`jnl`	Discrete camera calibration from pixel streams. Comput. Vis. Image Underst. Etienne Grossmann, José António Gaspar, Francesco Orabona
2010	—	`ch.`	Idiap on Medical Image Classification. ImageCLEF Tatiana Tommasi, Francesco Orabona
2010	—	`conf`	Learning from Candidate Labeling Sets. NIPS Jie Luo, Francesco Orabona
2010	—	`conf`	New Adaptive Algorithms for Online Classification. NIPS Francesco Orabona, Koby Crammer
2010	—	`conf`	OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie. CVPR Workshops Francesco Orabona, Marco Fornoni, Barbara Caputo, Nicolò Cesa-Bianchi
2010	J	`jnl`	On-line independent support vector machines. Pattern Recognit. Francesco Orabona, Claudio Castellini, Barbara Caputo, Jie Luo, Giulio Sandini
2010	A*	`conf`	Online-batch strongly convex Multi Kernel Learning. CVPR Francesco Orabona, Jie Luo, Barbara Caputo
2010	A*	`conf`	Safety in numbers: Learning categories from few examples with multi model knowledge transfer. CVPR Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2009	—	`conf`	An Online Framework for Learning Novel Concepts over Multiple Cues. ACCV (1) Jie Luo, Francesco Orabona, Barbara Caputo
2009	J	`jnl`	Bounded Kernel-Based Online Learning. J. Mach. Learn. Res. Francesco Orabona, Joseph Keshet, Barbara Caputo
2009	A*	`conf`	Model adaptation with least-squares SVM for adaptive hand prosthetics. ICRA Francesco Orabona, Claudio Castellini, Barbara Caputo, Angelo Emanuele Fiorilla, Giulio Sandini
2009	A*	`conf`	Robust bounds for classification via selective sampling. ICML Nicolò Cesa-Bianchi, Claudio Gentile, Francesco Orabona
2009	A	`conf`	You live, you learn, you forget: Continuous learning of visual places with a forgetting mechanism. IROS Muhammad Muneeb Ullah, Francesco Orabona, Barbara Caputo
2008	—	`conf`	An SVM Confidence-Based Approach to Medical Image Annotation. CLEF Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2008	—	`conf`	CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach. CLEF (Working Notes) Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2008	—	`conf`	Calibration from Statistical Properties of the Visual World. ECCV (4) Etienne Grossmann, José António Gaspar, Francesco Orabona
2008	J	`jnl`	Discriminative cue integration for medical image annotation. Pattern Recognit. Lett. Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2008	A*	`conf`	The projectron: a bounded kernel-based Perceptron. ICML Francesco Orabona, Joseph Keshet, Barbara Caputo
2007	—	`conf`	A Proto-object Based Visual Attention Model. WAPCV Francesco Orabona, Giorgio Metta, Giulio Sandini
2007	—	`conf`	CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach. CLEF (Working Notes) Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2007	—	`conf`	Cue Integration for Medical Image Annotation. CLEF Tatiana Tommasi, Francesco Orabona, Barbara Caputo
2007	A*	`conf`	Discrete camera calibration from the information distance between pixel streams. ICCV Etienne Grossmann, Francesco Orabona, José António Gaspar
2007	A	`conf`	Indoor Place Recognition using Online Independent Support Vector Machines. BMVC Francesco Orabona, Claudio Castellini
2007	J	`jnl`	Internal models of reaching and grasping. Adv. Robotics Claudio Castellini, Francesco Orabona, Giorgio Metta, Giulio Sandini
2006	—	`conf`	Learning Association Fields from Natural Images. CVPR Workshops Francesco Orabona, Giorgio Metta, Giulio Sandini
2006	—	`conf`	Simulation and Assessment of Bioinspired Visual Processing System for Epi-retinal Prostheses. EMBC Milena Vurro, Giuseppe Baselli, Francesco Orabona, Giulio Sandini
2005	—	`conf`	Exploring the world through grasping: a developmental approach. CIRA Lorenzo Natale, Francesco Orabona, Giorgio Metta, Giulio Sandini
2005	—	`conf`	From sensorimotor development to object perception. Humanoids Lorenzo Natale, Francesco Orabona, Fabio Berton, Giorgio Metta, Giulio Sandini
2005	—	`conf`	Object-based Visual Attention: a Model for a Behaving Robot. CVPR Workshops Francesco Orabona, Giorgio Metta, Giulio Sandini