Francesco Orabona

Francesco Orabona, Nicolò Cesa-Bianchi, Marco Fornoni, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Training Deep Networks without Learning Rates Through Coin Betting

Tatiana Tommasi, Francesco Orabona, T. Tommasi, 2017, NIPS.

Transfer Learning Through Greedy Subset Selection pdf

Ilja Kuzborskij, Francesco Orabona, Barbara Caputo, 2014, ICIAP.

From Coin Betting to Parameter-Free Online Learning pdf

Francesco Orabona, Dávid Pál, D. Pál, 2016, ArXiv.

Parameter-Free Convex Learning through Coin Betting

Francesco Orabona, Dávid Pál, D. Pál, 2016, AutoML@ICML.

Model adaptation with least-squares SVM for adaptive hand prosthetics

Giulio Sandini, Barbara Caputo, Francesco Orabona, 2009, 2009 IEEE International Conference on Robotics and Automation.

A Proto-object Based Visual Attention Model

Giulio Sandini, Giorgio Metta, Francesco Orabona, 2008, WAPCV.

Calibration from Statistical Properties of the Visual World

Francesco Orabona, José António Gaspar, Etienne Grossmann, 2008, ECCV.

Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization

Francesco Orabona, Ashok Cutkosky, Zhenxun Zhuang, 2019, ICML.

Stability and Hypothesis Transfer Learning

Ilja Kuzborskij, Francesco Orabona, Francesco Orabona, 2013, ICML.

Leveraging over prior knowledge for online learning of visual categories

Barbara Caputo, Tatiana Tommasi, Francesco Orabona, 2012, BMVC.

On Measure Concentration of Random Maximum A-Posteriori Perturbations

Anand D. Sarwate, Tommi S. Jaakkola, Tamir Hazan, 2013, ICML.

Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret pdf

Francesco Orabona, Alina Beygelzimer, Chicheng Zhang, 2017, ICML 2017.

Temporal Variability in Implicit Online Learning pdf

Francesco Orabona, Nicolo Campolongo, 2020, NeurIPS.

You live, you learn, you forget: Continuous learning of visual places with a forgetting mechanism

Barbara Caputo, Francesco Orabona, Muhammad Muneeb Ullah, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Idiap on Medical Image Classification

Tatiana Tommasi, Francesco Orabona, 2010, ImageCLEF.

Learning from Candidate Labeling Sets

Francesco Orabona, Jie Luo, Francesco Orabona, 2010, NIPS.

Internal models of reaching and grasping

Giulio Sandini, Giorgio Metta, Francesco Orabona, 2007, Adv. Robotics.

An Online Framework for Learning Novel Concepts over Multiple Cues

Barbara Caputo, Francesco Orabona, Jie Luo, 2009, ACCV.

A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance

Francesco Orabona, Xiaoyu Li, Zhenxun Zhuang, 2020, ICML.

Exploring the world through grasping: a developmental approach

Giulio Sandini, Giorgio Metta, Lorenzo Natale, 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

On-line Independent Support Vector Machines for Cognitive Systems

Giulio Sandini, Barbara Caputo, Francesco Orabona, 2007 .

Biologically Motivated Audio-Visual Cue Integration for Object

Daphna Weinshall, Barbara Caputo, Francesco Orabona, 2008 .

Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting pdf

Francesco Orabona, John Langford, Keyi Chen, 2020, AAAI.

Cue Integration for Medical Image Annotation

Barbara Caputo, Tatiana Tommasi, Francesco Orabona, 2007, CLEF.

From sensorimotor development to object perception

Giulio Sandini, Giorgio Metta, Lorenzo Natale, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

Scale-Free Algorithms for Online Linear Optimization pdf

Francesco Orabona, Dávid Pál, D. Pál, 2015, ALT.

Learning by Transferring from Auxiliary Hypotheses pdf

Ilja Kuzborskij, Francesco Orabona, Francesco Orabona, 2014, ArXiv.

On multilabel classification and ranking with bandit feedback

Claudio Gentile, Francesco Orabona, C. Gentile, 2014, J. Mach. Learn. Res..

Exponential Step Sizes for Non-Convex SGD

Francesco Orabona, Xiaoyu Li, Zhenxun Zhuang, 2020 .

Multi Kernel Learning with Online-Batch Optimization

Barbara Caputo, Francesco Orabona, Jie Luo, 2012, J. Mach. Learn. Res..

Adam+: A Stochastic Method with Adaptive Variance Reduction pdf

Mingrui Liu, Tianbao Yang, Wei Zhang, 2020, ArXiv.

Discrete camera calibration from pixel streams

Francesco Orabona, José António Gaspar, Etienne Grossmann, 2010, Comput. Vis. Image Underst..

Parameter-Free Locally Differentially Private Stochastic Subgradient Descent pdf

Francesco Orabona, Kwang-Sung Jun, 2019, ArXiv.

Parameter-free Online Convex Optimization with Sub-Exponential Noise

Francesco Orabona, Kwang-Sung Jun, Francesco Orabona, 2019, COLT.

LEARNING FROM IMAGES WITH CAPTIONS USING THE MAXIMUM MARGIN SET ALGORITHM

Barbara Caputo, Francesco Orabona, Vittorio Ferrari, 2011 .

Online Learning for Changing Environments using Coin Betting pdf

Rebecca Willett, Francesco Orabona, Kwang-Sung Jun, 2017, ArXiv.

A Simple Expression for Mill's Ratio of the Student's t-Distribution pdf

Francesco Orabona, 2015, ArXiv.

A Modern Introduction to Online Learning pdf

Francesco Orabona, 2019, ArXiv.

Efficient Online Bandit Multiclass Learning with Õ(√T) Regret

Francesco Orabona, Alina Beygelzimer, Chicheng Zhang, 2017, ICML.

Multiclass Latent Locally Linear Support Vector Machines

Barbara Caputo, Francesco Orabona, Marco Fornoni, 2013, ACML.

Bounded Kernel-Based Online Learning

Barbara Caputo, Francesco Orabona, Joseph Keshet, 2009, J. Mach. Learn. Res..

Fast rates by transferring from auxiliary hypotheses

Ilja Kuzborskij, Francesco Orabona, Francesco Orabona, 2014, Machine Learning.

PRISMA: PRoximal Iterative SMoothing Algorithm pdf

Francesco Orabona, Nathan Srebro, Andreas Argyriou, 2012, ArXiv.

A theoretical framework for transfer of knowledge across modalities in artificial and biological systems

Francesco Orabona, Frank W. Ohl, Barbara Caputo, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Online-batch strongly convex Multi Kernel Learning

Barbara Caputo, Francesco Orabona, Jie Luo, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach

Barbara Caputo, Tatiana Tommasi, Francesco Orabona, 2008, CLEF.

An SVM Confidence-Based Approach to Medical Image Annotation

Barbara Caputo, Tatiana Tommasi, Francesco Orabona, 2008, CLEF.

Discrete camera calibration from the information distance between pixel streams

Francesco Orabona, José António Gaspar, Etienne Grossmann, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Safety in numbers: Learning categories from few examples with multi model knowledge transfer

Barbara Caputo, Tatiana Tommasi, Francesco Orabona, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A High Probability Analysis of Adaptive SGD with Momentum pdf

Francesco Orabona, Xiaoyu Li, Francesco Orabona, 2020, ArXiv.

Indoor Place Recognition using Online Independent Support Vector Machines

Francesco Orabona, Claudio Castellini, Claudio Castellini, 2007, BMVC.

Black-Box Reductions for Parameter-free Online Learning in Banach Spaces

Francesco Orabona, Ashok Cutkosky, Francesco Orabona, 2018, COLT.

Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning

Francesco Orabona, Jie Luo, Francesco Orabona, 2011, ICML.

Scale-free online learning

Francesco Orabona, Dávid Pál, D. Pál, 2016, Theor. Comput. Sci..

A generalized online mirror descent with applications to classification and regression

Koby Crammer, Nicolò Cesa-Bianchi, Francesco Orabona, 2013, Machine Learning.

Dimension-Free Exponentiated Gradient

Francesco Orabona, Francesco Orabona, 2013, NIPS.

The projectron: a bounded kernel-based Perceptron

Barbara Caputo, Francesco Orabona, Joseph Keshet, 2008, ICML '08.

On Multilabel Classification and Ranking with Partial Feedback

Claudio Gentile, Francesco Orabona, 2012, NIPS.

Discriminative cue integration for medical image annotation

Barbara Caputo, Tatiana Tommasi, Francesco Orabona, 2008, Pattern Recognit. Lett..

Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration

Francesco Orabona, Ashok Cutkosky, Kwang-Sung Jun, 2019, NeurIPS.

Sensorimotor coordination in a "baby" robot: learning about objects through grasping.

Giulio Sandini, Giorgio Metta, Lorenzo Natale, 2007, Progress in brain research.

Scalable greedy algorithms for transfer learning

Ilja Kuzborskij, Barbara Caputo, Francesco Orabona, 2014, Comput. Vis. Image Underst..

High Dimensional Inference With Random Maximum A-Posteriori Perturbations

Subhransu Maji, Anand D. Sarwate, Tommi S. Jaakkola, 2016, IEEE Transactions on Information Theory.

On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

Francesco Orabona, Xiaoyu Li, Francesco Orabona, 2018, AISTATS.

Better Algorithms for Selective Sampling

Francesco Orabona, Nicolò Cesa-Bianchi, N. Cesa-Bianchi, 2011, ICML.

Open Problem: Parameter-Free and Scale-Free Online Algorithms

Francesco Orabona, Dávid Pál, D. Pál, 2016, COLT.

Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning

Francesco Orabona, Francesco Orabona, 2014, NIPS.

Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice pdf

Francesco Orabona, Dávid Pál, D. Pál, 2015, ArXiv.

Learning Association Fields from Natural Images

Giulio Sandini, Giorgio Metta, Francesco Orabona, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

A theoretical framework for transfer of knowledge across modalities in artificial and cognitive systems

Barbara Caputo, Francesco Orabona, Frank W. Ohl, 2009 .

Beyond Logarithmic Bounds in Online Learning

Claudio Gentile, Nicolò Cesa-Bianchi, Francesco Orabona, 2012, AISTATS.

Exponential Step Sizes for Non-Convex Optimization pdf

Francesco Orabona, Xiaoyu Li, Zhenxun Zhuang, 2020, ArXiv.

New Adaptive Algorithms for Online Classification

Koby Crammer, Francesco Orabona, K. Crammer, 2010, NIPS.

Online Learning Algorithms

Francesco Orabona, Nicolò Cesa-Bianchi, 2021 .

The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams

Francesco Orabona, Nicolò Cesa-Bianchi, Rocco De Rosa, 2015, 2015 IEEE International Conference on Data Mining.

Coin Betting and Parameter-Free Online Learning

Francesco Orabona, Dávid Pál, D. Pál, 2016, NIPS.

Developmental learning in non-markovian processes: Premises of a biologically plausible cognitive architecture

Giorgio Metta, Francesco Orabona, Axel Cleeremans, 2007 .

Object-based Visual Attention: a Model for a Behaving Robot

Giulio Sandini, Giorgio Metta, Francesco Orabona, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

From N to N+1: Multiclass Transfer Incremental Learning

Ilja Kuzborskij, Barbara Caputo, Francesco Orabona, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A Parameter-free Algorithm for Convex-concave Min-max Problems pdf

Mingrui Liu, Francesco Orabona, Mingrui Liu, 2021, ArXiv.

Online Learning with Optimism and Delay

Francesco Orabona, Soukayna Mouatadid, Genevieve Flaspohler, 2021, ICML.

On the Last Iterate Convergence of Momentum Methods pdf

Mingrui Liu, Francesco Orabona, Xiaoyu Li, 2021, ArXiv.

A closer look at temporal variability in dynamic online learning pdf

Francesco Orabona, Nicolo Campolongo, 2021, ArXiv.

Parameter-free Stochastic Optimization of Variationally Coherent Functions pdf

Francesco Orabona, D'avid P'al, Francesco Orabona, 2021, ArXiv.