Kuzborskij, Ilja

20 publications

NeurIPSW 2024 Algorithmic Stability of Minimum-Norm Interpolating Deep Neural Networks Ouns El Harzli, Yoonsoo Nam, Ilja Kuzborskij, Bernardo Cuenca Grau, Ard A. Louis

COLT 2024 Better-than-KL PAC-Bayes Bounds Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona

NeurIPS 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári

NeurIPS 2023 Mixture Weight Estimation and Model Prediction in Multi-Source Multi-Target Domain Adaptation Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi

COLT 2023 Tighter PAC-Bayes Bounds Through Coin-Betting Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona

AISTATS 2021 Confident Off-Policy Evaluation and Selection Through Self-Normalized Importance Weighting Ilja Kuzborskij, Claire Vernade, Andras Gyorgy, Csaba Szepesvari

COLT 2021 **Paper Retracted by Author Request (see Pdf for Retraction Notice from the Authors)** Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping Ilja Kuzborskij, Csaba Szepesvari

ICML 2021 A Distribution-Dependent Analysis of Meta Learning Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvari

NeurIPS 2021 On the Role of Optimization in Double Descent: A Least Squares Study Ilja Kuzborskij, Csaba Szepesvari, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu

NeurIPS 2021 Stability & Generalisation of Gradient Descent for Shallow Neural Networks Without the Neural Tangent Kernel Dominic Richards, Ilja Kuzborskij

NeurIPS 2020 Locally-Adaptive Nonparametric Online Learning Ilja Kuzborskij, Nicolò Cesa-Bianchi

NeurIPS 2020 PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvari, John Shawe-Taylor

COLT 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári

AISTATS 2019 Efficient Linear Bandits Through Matrix Sketching Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi

ICML 2018 Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij, Christoph Lampert

MLJ 2017 Fast Rates by Transferring from Auxiliary Hypotheses Ilja Kuzborskij, Francesco Orabona

NeurIPS 2017 Nonparametric Online Regression While Learning the Metric Ilja Kuzborskij, Nicolò Cesa-Bianchi

CVPR 2016 When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo

CVPR 2013 From N to N+1: Multiclass Transfer Incremental Learning Ilja Kuzborskij, Francesco Orabona, Barbara Caputo

ICML 2013 Stability and Hypothesis Transfer Learning Ilja Kuzborskij, Francesco Orabona