Ilja Kuzborskij
19 papers · 2013–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(18)
Optimization & Theory
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Artificial Intelligence
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Learning Types
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Deep Learning
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic
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Optimization
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Computer Vision
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Natural Language Processing
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Reinforcement Learning
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Analysis
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Keywords
generalization bound
(6)
generalization error
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regret bound
(4)
pac-bayes bound
(3)
domain adaptation
(3)
transfer learning
(3)
gradient descent
(3)
algorithmic stability
(3)
concentration inequality
(3)
non-convex optimization
(2)
neural network
(2)
stochastic gradient descent
(2)
contextual bandit
(2)
excess risk
(2)
convex optimization
(2)
nonparametric regression
(2)
effective dimension
(2)
metric learning
(1)
multi-source learning
(1)
representation learning
(1)
Papers
On-Average Stability of Multipass Preconditioned SGD and Effective Dimension
COLT 2026
Better-than-KL PAC-Bayes Bounds
COLT 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
NeurIPS 2024
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
NeurIPS 2023
Tighter PAC-Bayes Bounds Through Coin-Betting
COLT 2023
A Distribution-dependent Analysis of Meta Learning
ICML 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting
AISTATS 2021
On the Role of Optimization in Double Descent: A Least Squares Study
NeurIPS 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
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
NeurIPS 2021
Locally-Adaptive Nonparametric Online Learning
NeurIPS 2020
PAC-Bayes Analysis Beyond the Usual Bounds
NeurIPS 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
NeurIPS 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