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On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization

Oct 31, 2020
Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári


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PAC-Bayes Analysis Beyond the Usual Bounds

Jun 23, 2020
Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvari, John Shawe-Taylor

* Enhanced version of the paper with the same title presented at the NeurIPS 2019 Workshop on Machine Learning with Guarantees. Important update: the PAC-Bayes bound for unbounded loss functions (Section 2.3) is new 

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Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting

Jun 18, 2020
Ilja Kuzborskij, Claire Vernade, Andr├ís Gy├Ârgy, Csaba Szepesv├íri


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Locally-Adaptive Nonparametric Online Learning

Feb 05, 2020
Ilja Kuzborskij, Nicol├▓ Cesa-Bianchi


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Efron-Stein PAC-Bayesian Inequalities

Sep 04, 2019
Ilja Kuzborskij, Csaba Szepesvári


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Distribution-Dependent Analysis of Gibbs-ERM Principle

Feb 05, 2019
Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári


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Efficient Linear Bandits through Matrix Sketching

Sep 28, 2018
Ilja Kuzborskij, Leonardo Cella, Nicol├▓ Cesa-Bianchi


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Data-Dependent Stability of Stochastic Gradient Descent

Feb 15, 2018
Ilja Kuzborskij, Christoph H. Lampert


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Nonparametric Online Regression while Learning the Metric

Oct 23, 2017
Ilja Kuzborskij, Nicol├▓ Cesa-Bianchi

* To appear in NIPS 2017 

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Scalable Greedy Algorithms for Transfer Learning

Jun 18, 2016
Ilja Kuzborskij, Francesco Orabona, Barbara Caputo


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When Naïve Bayes Nearest Neighbours Meet Convolutional Neural Networks

Nov 17, 2015
Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo


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Fast Rates by Transferring from Auxiliary Hypotheses

Jul 17, 2015
Ilja Kuzborskij, Francesco Orabona


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