← Authors

Róbert Busa-Fekete

23 papers · 2012–2023 · 7 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (11) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🗺️ Taxonomy Completionist (12) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (11) 🏆 Keyword Champion 💎 Century Club (23) 🔥 Unstoppable (12) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (99)

Conferences

NIPS (9) ICML (7) INTERSPEECH (2) JMLR (2) AAAI (1) COLT (1) EMNLP (1)

Top co-authors

Balázs Szörényi (11) Eyke Hüllermeier (7) Dimitris Fotakis (3) Krzysztof Dembczynski (3) Paul Weng (3) Adil El Mesaoudi-Paul (2) Balázs Kégl (2) Kalina Jasinska (2) Andres Munoz Medina (2) László Tóth (2)

Research topics

Differential Privacy (1)

Keywords

online learning (5) regret bound (4) mallows model (4) multi-armed bandit (4) multi-label classification (3) ranking datum (3) preference learning (3) extreme multi-label classification (2) dueling bandit (2) rank elicitation (2) distributed algorithm (2) explore-exploit tradeoff (2) deep neural network (2) statistical testing (2) stochastic optimization (2) speech classification (2) pairwise preference (2) adaptive sampling (1) distributed optimization (1) logistic regression (1)

Papers

Easy Learning from Label Proportions NIPS 2023
Private and Communication-Efficient Algorithms for Entropy Estimation NIPS 2022
Regret Bounds for Multilabel Classification in Sparse Label Regimes NIPS 2022
Preference-based Online Learning with Dueling Bandits: A Survey JMLR 2021
Private and Non-private Uniformity Testing for Ranking Data NIPS 2021
Identity testing for Mallows model NIPS 2021
Learning to Crawl AAAI 2020
Optimal Learning of Mallows Block Model COLT 2019
Ranking Distributions based on Noisy Sorting ICML 2018
A no-regret generalization of hierarchical softmax to extreme multi-label classification NIPS 2018
Distributed Stochastic Optimization via Adaptive SGD NIPS 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
Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016
Determining Native Language and Deception Using Phonetic Features and Classifier Combination INTERSPEECH 2016
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach NIPS 2015
Online F-Measure Optimization NIPS 2015
Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014
Top-k Selection based on Adaptive Sampling of Noisy Preferences ICML 2013
Gossip-based distributed stochastic bandit algorithms ICML 2013
Learning to Rank Lexical Substitutions EMNLP 2013
MULTIBOOST: A Multi-purpose Boosting Package JMLR 2012