Francesco Orabona

Identifiers

• name variant Francesco Orabona 0.60 · backfill

Papers (27)

1. From Betting to Empirical Bernstein LIL stat.ML · 2026 · author #1
2. A Note on How to Remove the $\ln\ln T$ Term from the Squint Bound cs.LG · 2026 · author #1
3. A Modern Introduction to Online Learning cs.LG · 2019 · author #1
4. Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration cs.LG · 2019 · author #3
5. Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization cs.LG · 2019 · author #3
6. On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes stat.ML · 2018 · author #2
7. Black-Box Reductions for Parameter-free Online Learning in Banach Spaces cs.LG · 2018 · author #2
8. Online Learning for Changing Environments using Coin Betting stat.ML · 2017 · author #2
9. Training Deep Networks without Learning Rates Through Coin Betting cs.LG · 2017 · author #1
10. Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret cs.LG · 2017 · author #2
11. Improved Strongly Adaptive Online Learning using Coin Betting stat.ML · 2016 · author #2
12. Coin Betting and Parameter-Free Online Learning cs.LG · 2016 · author #1
13. High Dimensional Inference with Random Maximum A-Posteriori Perturbations cs.LG · 2016 · author #2
14. Solving Ridge Regression using Sketched Preconditioned SVRG cs.LG · 2016 · author #2
15. Scale-Free Online Learning cs.LG · 2016 · author #1
16. Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice stat.ML · 2015 · author #1
17. The ABACOC Algorithm: a Novel Approach for Nonparametric Classification of Data Streams stat.ML · 2015 · author #2
18. Scale-Free Algorithms for Online Linear Optimization cs.LG · 2015 · author #1
19. A Simple Expression for Mill's Ratio of the Student's $t$-Distribution cs.LG · 2015 · author #1
20. Fast Rates by Transferring from Auxiliary Hypotheses cs.LG · 2014 · author #2
21. Scalable Greedy Algorithms for Transfer Learning cs.CV · 2014 · author #2
22. Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning cs.LG · 2014 · author #1
23. Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations cs.LG · 2014 · author #2
24. On Measure Concentration of Random Maximum A-Posteriori Perturbations cs.LG · 2013 · author #1
25. A Generalized Online Mirror Descent with Applications to Classification and Regression cs.LG · 2013 · author #1
26. On Multilabel Classification and Ranking with Partial Feedback cs.LG · 2012 · author #2
27. PRISMA: PRoximal Iterative SMoothing Algorithm math.OC · 2012 · author #1

Mentions

• 1207.0166 #2 · backfill · confidence 0.70 Francesco Orabona
• 1206.2372 #1 · backfill · confidence 0.70 Francesco Orabona
• 2605.22124 #1 · arxiv_oai · confidence 0.70 Francesco Orabona

Frequent Coauthors

• Ashok Cutkosky 3 shared papers
• Kwang-Sung Jun 3 shared papers
• Anand D. Sarwate 2 shared papers
• D\'avid P\'al 2 shared papers
• David Pal 2 shared papers
• Ilja Kuzborskij 2 shared papers
• Nicol\`o Cesa-Bianchi 2 shared papers
• Rebecca Willett 2 shared papers
• Stephen Wright 2 shared papers
• Tamir Hazan 2 shared papers
• Tommi Jaakkola 2 shared papers
• Alina Beygelzimer 1 shared papers
• Alon Gonen 1 shared papers
• Andreas Argyriou 1 shared papers
• Barbara Caputo 1 shared papers
• Chicheng Zhang 1 shared papers
• Claudio Gentile 1 shared papers
• H. Brendan McMahan 1 shared papers
• Koby Crammer 1 shared papers
• Nathan Srebro 1 shared papers