Ilja Kuzborskij
18 papers · 2013–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (11)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(11)
🌱
Topic Pioneer
🗃️
Keyword Collector
(90)
🚀
Conference Pioneer
💎
Century Club
(18)
🔥
Unstoppable
(6)
📈
Trend Setter
⚡
Prolific Year
(5)
Conferences
NIPS (7)
COLT (4)
ICML (3)
AISTATS (2)
CVPR (2)
Top co-authors
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