Róbert Busa-Fekete
24 papers · 2012–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
🤝
Dynamic Duo
(11)
📈
Trend Setter
🚀
Conference Pioneer
🔥
Unstoppable · Silver
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(108)
Top co-authors
Research topics
Machine Learning
(23)
Optimization & Theory
(13)
Learning Types
(11)
Core Methods
(9)
Mathematics & Optimization
(8)
Mathematics
(4)
Optimization
(4)
Deep Learning
(3)
Application Areas
(3)
Artificial Intelligence
(2)
Speech & Audio
(2)
Analysis
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Data Science & Analytics
(1)
Keywords
online learning
(5)
multi-armed bandit
(4)
regret bound
(4)
mallows model
(4)
preference learning
(3)
ranking data
(3)
multi-label classification
(3)
rank elicitation
(2)
dueling bandit
(2)
explore-exploit tradeoff
(2)
distributed algorithm
(2)
deep neural network
(2)
empirical risk minimization
(2)
extreme multi-label classification
(2)
statistical testing
(2)
stochastic optimization
(2)
speech classification
(2)
pairwise preference
(2)
distributed learning
(1)
sample complexity
(1)
Papers
Statistical Learning from Attribution Sets
COLT 2026
Easy Learning from Label Proportions
NeurIPS 2023
Private and Communication-Efficient Algorithms for Entropy Estimation
NeurIPS 2022
Regret Bounds for Multilabel Classification in Sparse Label Regimes
NeurIPS 2022
Identity testing for Mallows model
NeurIPS 2021
Preference-based Online Learning with Dueling Bandits: A Survey
JMLR 2021
Private and Non-private Uniformity Testing for Ranking Data
NeurIPS 2021
Learning to Crawl
AAAI 2020
Optimal Learning of Mallows Block Model
COLT 2019
A no-regret generalization of hierarchical softmax to extreme multi-label classification
NeurIPS 2018
Distributed Stochastic Optimization via Adaptive SGD
NeurIPS 2018
Ranking Distributions based on Noisy Sorting
ICML 2018
DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification
Interspeech 2017
Multi-objective Bandits: Optimizing the Generalized Gini Index
ICML 2017
Determining Native Language and Deception Using Phonetic Features and Classifier Combination
Interspeech 2016
Extreme F-measure Maximization using Sparse Probability Estimates
ICML 2016
Online F-Measure Optimization
NeurIPS 2015
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
NeurIPS 2015
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
ICML 2015
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
ICML 2014
Gossip-based distributed stochastic bandit algorithms
ICML 2013
Learning to Rank Lexical Substitutions
EMNLP 2013
Top-k Selection based on Adaptive Sampling of Noisy Preferences
ICML 2013
MULTIBOOST: A Multi-purpose Boosting Package
JMLR 2012