Ilja Kuzborskij

According to our database, Ilja Kuzborskij authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

To Believe or Not to Believe Your LLM.

Yasin Abbasi-Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári

CoRR, 2024

Mitigating LLM Hallucinations via Conformal Abstention.

Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev

CoRR, 2024

Better-than-KL PAC-Bayes Bounds.

Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation.

Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tighter PAC-Bayes Bounds Through Coin-Betting.

Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks.

Ilja Kuzborskij, Csaba Szepesvári

CoRR, 2022

2021

Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel.

Dominic Richards, Ilja Kuzborskij

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Role of Optimization in Double Descent: A Least Squares Study.

Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Distribution-dependent Analysis of Meta Learning.

Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári

Proceedings of the 38th International Conference on Machine Learning, 2021

Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping.

Ilja Kuzborskij, Csaba Szepesvári

Proceedings of the Conference on Learning Theory, 2021

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

Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári

CoRR, 2020

PAC-Bayes Analysis Beyond the Usual Bounds.

Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Locally-Adaptive Nonparametric Online Learning.

Ilja Kuzborskij, Nicolò Cesa-Bianchi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Efron-Stein PAC-Bayesian Inequalities.

Ilja Kuzborskij, Csaba Szepesvári

CoRR, 2019

Distribution-Dependent Analysis of Gibbs-ERM Principle.

Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári

Proceedings of the Conference on Learning Theory, 2019

Efficient Linear Bandits through Matrix Sketching.

Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Data-Dependent Stability of Stochastic Gradient Descent.

Ilja Kuzborskij, Christoph H. Lampert

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Fast rates by transferring from auxiliary hypotheses.

Ilja Kuzborskij, Francesco Orabona

Mach. Learn., 2017

Scalable greedy algorithms for transfer learning.

Ilja Kuzborskij, Francesco Orabona, Barbara Caputo

Comput. Vis. Image Underst., 2017

Nonparametric Online Regression while Learning the Metric.

Ilja Kuzborskij, Nicolò Cesa-Bianchi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

When Naïve Bayes Nearest Neighbors Meet Convolutional Neural Networks.

Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

When Naïve Bayes Nearest Neighbours Meet Convolutional Neural Networks.

Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo

CoRR, 2015

Transfer Learning Through Greedy Subset Selection.

Ilja Kuzborskij, Francesco Orabona, Barbara Caputo

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014

Learning by Transferring from Auxiliary Hypotheses.

Ilja Kuzborskij, Francesco Orabona

CoRR, 2014

2013

Stability and Hypothesis Transfer Learning.

Ilja Kuzborskij, Francesco Orabona

Proceedings of the 30th International Conference on Machine Learning, 2013

From N to N+1: Multiclass Transfer Incremental Learning.

Ilja Kuzborskij, Francesco Orabona, Barbara Caputo

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

On the challenge of classifying 52 hand movements from surface electromyography.

Ilja Kuzborskij, Arjan Gijsberts, Barbara Caputo

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012