Balázs Kégl
12 papers · 2002–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (13) 🌍 Conference Polyglot (6)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🗃️
Keyword Collector
(54)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(12)
❓
The Questioner
Conferences
ICML (4)
ICLR (2)
JMLR (2)
NIPS (2)
AISTATS (1)
COLT (1)
Top co-authors
Keywords
multi-class classification
(2)
dimensionality reduction
(1)
expected improvement
(1)
neural network training
(1)
model selection
(1)
manifold learning
(1)
ensemble learning
(1)
hyperparameter optimization
(1)
multi-label classification
(1)
convergence analysis
(1)
distributional similarity
(1)
cascade classifier
(1)
image structure
(1)
topology learning
(1)
feature learning
(1)
stochastic optimization
(1)
empirical complexity
(1)
image topology
(1)
pixel distribution
(1)
unsupervised learning
(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
Gossip-based distributed stochastic bandit algorithms
ICML 2013
Collaborative hyperparameter tuning
ICML 2013
MULTIBOOST: A Multi-purpose Boosting Package
JMLR 2012
Adaptive Metropolis with Online Relabeling
AISTATS 2012
Algorithms for Hyper-Parameter Optimization
NIPS 2011
Learning the 2-D Topology of Images
NIPS 2007
Data-dependent margin-based generalization bounds for classification
JMLR 2002