Ilja Kuzborskij
Ilja Kuzborskij
DeepMind
Verified email at google.com - Homepage
Title
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Cited by
Year
Characterization of a benchmark database for myoelectric movement classification
M Atzori, A Gijsberts, I Kuzborskij, S Elsig, AGM Hager, O Deriaz, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (1), 73-83, 2014
1432014
From n to n+ 1: Multiclass transfer incremental learning
I Kuzborskij, F Orabona, B Caputo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1252013
Stability and hypothesis transfer learning
I Kuzborskij, F Orabona
International Conference on Machine Learning, 942-950, 2013
1142013
On the challenge of classifying 52 hand movements from surface electromyography
I Kuzborskij, A Gijsberts, B Caputo
2012 annual international conference of the IEEE engineering in medicine and …, 2012
1072012
Data-Dependent Stability of Stochastic Gradient Descent
I Kuzborskij, CH Lampert
International Conference on Machine Learning, 2018
622018
Fast Rates by Transferring from Auxiliary Hypotheses
I Kuzborskij, F Orabona
Machine Learning, 2016
422016
Transfer Learning through Greedy Subset Selection
I Kuzborskij, B Caputo, F Orabona
18th International Conference on Image Analysis and Processing — ICIAP 2015, 2015
252015
When Naive Bayes Nearest Neighbours Meet Convolutional Neural Networks
I Kuzborskij, FM Carlucci, B Caputo
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
242016
Scalable greedy algorithms for transfer learning
I Kuzborskij, F Orabona, B Caputo
Computer Vision and Image Understanding 156, 174-185, 2017
182017
PAC-Bayes analysis beyond the usual bounds
O Rivasplata, I Kuzborskij, C Szepesvári, J Shawe-Taylor
arXiv preprint arXiv:2006.13057, 2020
102020
Efficient linear bandits through matrix sketching
I Kuzborskij, L Cella, N Cesa-Bianchi
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
102019
Nonparametric Online Regression while Learning the Metric
I Kuzborskij, N Cesa-Bianchi
Advances in Neural Information Processing Systems 31 (NIPS-17), 2017
52017
Confident off-policy evaluation and selection through self-normalized importance weighting
I Kuzborskij, C Vernade, A György, C Szepesvári
arXiv preprint arXiv:2006.10460, 2020
42020
Efron-Stein PAC-Bayesian Inequalities
I Kuzborskij, C Szepesvári
arXiv preprint arXiv:1909.01931, 2019
42019
Distribution-Dependent Analysis of Gibbs-ERM Principle
I Kuzborskij, N Cesa-Bianchi, C Szepesvári
Conference on Learning Theory (COLT), 2019
42019
Theory and algorithms for hypothesis transfer learning
I Kuzborskij
EPFL, 2018
42018
On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization
M Konobeev, I Kuzborskij, C Szepesvári
arXiv preprint arXiv:2011.00344, 2020
12020
Locally-Adaptive Nonparametric Online Learning
I Kuzborskij, N Cesa-Bianchi
arXiv preprint arXiv:2002.01882, 2020
2020
Supplementary Material for Data-Dependent Stability of Stochastic Gradient Descent
I Kuzborskij, CH Lampert
Supplementary Material for “Nonparametric Online Regression while Learning the Metric”
I Kuzborskij, N Cesa-Bianchi
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Articles 1–20