Balázs Kégl
12 papers · 2002–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(3)
🧬
Topic Evolution
📈
Trend Setter
❓
The Questioner
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(8)
Core Methods
(5)
Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Core AI · Artificial Intelligence
(3)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Computer Vision
(1)
Analysis
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
multi-class classification
(2)
dimensionality reduction
(1)
sample complexity
(1)
zero-shot learning
(1)
feature learning
(1)
neural network training
(1)
model selection
(1)
manifold learning
(1)
ensemble learning
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
in-context learning
(1)
multi-label classification
(1)
convergence analysis
(1)
reinforcement learning
(1)
distributional similarity
(1)
markov decision process
(1)
cascade classifier
(1)
image structure
(1)
stochastic optimization
(1)
Papers
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
ICML 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
ICLR 2025
Position: A Call for Embodied AI
ICML 2024
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
ICLR 2021
Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers
COLT 2014
Collaborative hyperparameter tuning
ICML 2013
Gossip-based distributed stochastic bandit algorithms
ICML 2013
Adaptive Metropolis with Online Relabeling
AISTATS 2012
MULTIBOOST: A Multi-purpose Boosting Package
JMLR 2012
Algorithms for Hyper-Parameter Optimization
NeurIPS 2011
Learning the 2-D Topology of Images
NeurIPS 2007
Data-dependent margin-based generalization bounds for classification
JMLR 2002