← Authors

Ilja Kuzborskij

18 papers · 2013–2024 · 5 conferences · across top CS/AI conferences

Achievements

๐Ÿงญ Keyword Pioneer ๐Ÿ Cross-Pollinator (14) ๐ŸŒˆ Renaissance Researcher (7) ๐Ÿฃ Hot Topic Early Bird ๐Ÿ—บ๏ธ Taxonomy Completionist (38) ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒ Conference Polyglot (5) ๐Ÿƒ Academic Marathon (11) ๐ŸŒฑ Topic Pioneer ๐Ÿ—ƒ๏ธ Keyword Collector (90) ๐Ÿš€ Conference Pioneer ๐Ÿ’Ž Century Club (18) ๐Ÿ”ฅ Unstoppable (6) ๐Ÿ“ˆ Trend Setter โšก Prolific Year (5)

Conferences

NIPS (7) COLT (4) ICML (3) AISTATS (2) CVPR (2)

Top co-authors

Csaba Szepesvรกri (7) Francesco Orabona (4) Nicolรฒ Cesa-bianchi (4) Andrรกs Gyรถrgy (2) Barbara Caputo (2) Kyoungseok Jang (2) Omar Rivasplata (2) Kwang-Sung Jun (2) Amal Rannen-Triki (1) Yuyang Deng (1)

Keywords

regret bound (4) generalization bound (4) pac-bayes bound (3) transfer learning (3) algorithmic stability (3) domain adaptation (3) gradient descent (3) generalization error (3) convex optimization (2) excess risk (2) non-convex optimization (2) contextual bandit (2) concentration inequality (2) nonparametric regression (2) neural network (2) adversarial robustness (1) multi-source learning (1) metric learning (1) image classification (1) incremental learning (1)

Papers

To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024
Better-than-KL PAC-Bayes Bounds COLT 2024
Tighter PAC-Bayes Bounds Through Coin-Betting COLT 2023
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation NIPS 2023
A Distribution-dependent Analysis of Meta Learning ICML 2021
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel NIPS 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 COLT 2021
On the Role of Optimization in Double Descent: A Least Squares Study NIPS 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021
Locally-Adaptive Nonparametric Online Learning NIPS 2020
PAC-Bayes Analysis Beyond the Usual Bounds NIPS 2020
Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019
Efficient Linear Bandits through Matrix Sketching AISTATS 2019
Data-Dependent Stability of Stochastic Gradient Descent ICML 2018
Nonparametric Online Regression while Learning the Metric NIPS 2017
When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks CVPR 2016
From N to N+1: Multiclass Transfer Incremental Learning CVPR 2013
Stability and Hypothesis Transfer Learning ICML 2013