default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIlja Kuzborskij
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c19]Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona:
Better-than-KL PAC-Bayes Bounds. COLT 2024: 3325-3352- [i20]Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang
, Francesco Orabona:
Better-than-KL PAC-Bayes Bounds. CoRR abs/2402.09201 (2024) - [i19]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:
Mitigating LLM Hallucinations via Conformal Abstention. CoRR abs/2405.01563 (2024) - [i18]Yasin Abbasi-Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári:
To Believe or Not to Believe Your LLM. CoRR abs/2406.02543 (2024) - 2023
- [c18]Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona:
Tighter PAC-Bayes Bounds Through Coin-Betting. COLT 2023: 2240-2264 - [c17]Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi:
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation. NeurIPS 2023 - [i17]Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona:
Tighter PAC-Bayes Bounds Through Coin-Betting. CoRR abs/2302.05829 (2023) - [i16]Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi:
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation. CoRR abs/2309.10736 (2023) - 2022
- [i15]Ilja Kuzborskij, Csaba Szepesvári:
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks. CoRR abs/2212.13848 (2022) - 2021
- [c16]Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári:
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting. AISTATS 2021: 640-648 - [c15]Ilja Kuzborskij, Csaba Szepesvári:
Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping. COLT 2021: 2853-2890 - [c14]Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári:
A Distribution-dependent Analysis of Meta Learning. ICML 2021: 5697-5706 - [c13]Dominic Richards, Ilja Kuzborskij:
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel. NeurIPS 2021: 8609-8621 - [c12]Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu:
On the Role of Optimization in Double Descent: A Least Squares Study. NeurIPS 2021: 29567-29577 - [i14]Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu:
On the Role of Optimization in Double Descent: A Least Squares Study. CoRR abs/2107.12685 (2021) - [i13]Dominic Richards, Ilja Kuzborskij:
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel. CoRR abs/2107.12723 (2021) - 2020
- [c11]Ilja Kuzborskij, Nicolò Cesa-Bianchi:
Locally-Adaptive Nonparametric Online Learning. NeurIPS 2020 - [c10]Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor:
PAC-Bayes Analysis Beyond the Usual Bounds. NeurIPS 2020 - [i12]Ilja Kuzborskij, Nicolò Cesa-Bianchi:
Locally-Adaptive Nonparametric Online Learning. CoRR abs/2002.01882 (2020) - [i11]Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári:
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting. CoRR abs/2006.10460 (2020) - [i10]Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor:
PAC-Bayes Analysis Beyond the Usual Bounds. CoRR abs/2006.13057 (2020) - [i9]Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári:
On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization. CoRR abs/2011.00344 (2020)
2010 – 2019
- 2019
- [c9]Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi:
Efficient Linear Bandits through Matrix Sketching. AISTATS 2019: 177-185 - [c8]Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári:
Distribution-Dependent Analysis of Gibbs-ERM Principle. COLT 2019: 2028-2054 - [i8]Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári:
Distribution-Dependent Analysis of Gibbs-ERM Principle. CoRR abs/1902.01846 (2019) - [i7]Ilja Kuzborskij, Csaba Szepesvári:
Efron-Stein PAC-Bayesian Inequalities. CoRR abs/1909.01931 (2019) - 2018
- [c7]Ilja Kuzborskij, Christoph H. Lampert:
Data-Dependent Stability of Stochastic Gradient Descent. ICML 2018: 2820-2829 - [i6]Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi:
Efficient Linear Bandits through Matrix Sketching. CoRR abs/1809.11033 (2018) - 2017
- [j2]Ilja Kuzborskij, Francesco Orabona, Barbara Caputo:
Scalable greedy algorithms for transfer learning. Comput. Vis. Image Underst. 156: 174-185 (2017) - [j1]Ilja Kuzborskij, Francesco Orabona:
Fast rates by transferring from auxiliary hypotheses. Mach. Learn. 106(2): 171-195 (2017) - [c6]Ilja Kuzborskij, Nicolò Cesa-Bianchi:
Nonparametric Online Regression while Learning the Metric. NIPS 2017: 667-676 - [i5]Ilja Kuzborskij, Christoph H. Lampert:
Data-Dependent Stability of Stochastic Gradient Descent. CoRR abs/1703.01678 (2017) - [i4]Ilja Kuzborskij, Nicolò Cesa-Bianchi:
Nonparametric Online Regression while Learning the Metric. CoRR abs/1705.07853 (2017) - 2016
- [c5]Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo:
When Naïve Bayes Nearest Neighbors Meet Convolutional Neural Networks. CVPR 2016: 2100-2109 - 2015
- [c4]Ilja Kuzborskij, Francesco Orabona, Barbara Caputo:
Transfer Learning Through Greedy Subset Selection. ICIAP (1) 2015: 3-14 - [i3]Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo:
When Naïve Bayes Nearest Neighbours Meet Convolutional Neural Networks. CoRR abs/1511.03853 (2015) - 2014
- [i2]Ilja Kuzborskij, Barbara Caputo, Francesco Orabona:
Transfer Learning through Greedy Subset Selection. CoRR abs/1408.1292 (2014) - [i1]Ilja Kuzborskij, Francesco Orabona:
Learning by Transferring from Auxiliary Hypotheses. CoRR abs/1412.1619 (2014) - 2013
- [c3]Ilja Kuzborskij, Francesco Orabona, Barbara Caputo:
From N to N+1: Multiclass Transfer Incremental Learning. CVPR 2013: 3358-3365 - [c2]Ilja Kuzborskij, Francesco Orabona:
Stability and Hypothesis Transfer Learning. ICML (3) 2013: 942-950 - 2012
- [c1]Ilja Kuzborskij, Arjan Gijsberts, Barbara Caputo:
On the challenge of classifying 52 hand movements from surface electromyography. EMBC 2012: 4931-4937
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
