Balázs Szörényi
17 papers · 2013–2022 · 4 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 · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🤝
Dynamic Duo
(11)
📈
Trend Setter
🚀
Conference Pioneer
🔥
Unstoppable · Silver
💎
Century Club · Bronze
🗃️
Keyword Collector
(81)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory
(12)
Learning Types
(10)
Mathematics & Optimization
(5)
Core Methods
(5)
Artificial Intelligence
(3)
Optimization
(3)
Reinforcement Learning
(2)
Mathematics
(2)
Methods
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
regret bound
(5)
online learning
(5)
sample complexity
(3)
mallows model
(3)
multi-armed bandit
(3)
temporal difference learning
(2)
preference learning
(2)
rank elicitation
(2)
stochastic approximation
(2)
peer-to-peer network
(2)
stochastic optimization
(2)
convergence rate
(2)
convergence analysis
(1)
multi-label classification
(1)
semi-supervised learning
(1)
active learning
(1)
parameter estimation
(1)
markov decision process
(1)
binary classification
(1)
reinforcement learning
(1)
Papers
Regret Bounds for Multilabel Classification in Sparse Label Regimes
NeurIPS 2022
Identity testing for Mallows model
NeurIPS 2021
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
AAAI 2020
Learning to Crawl
AAAI 2020
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
ICML 2019
Optimal Learning of Mallows Block Model
COLT 2019
The information-theoretic value of unlabeled data in semi-supervised learning
ICML 2019
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning
COLT 2018
Multi-objective Bandits: Optimizing the Generalized Gini Index
ICML 2017
Distributed Clustering of Linear Bandits in Peer to Peer Networks
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
Optimistic Planning in Markov Decision Processes Using a Generative Model
NeurIPS 2014
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
ICML 2014
Gossip-based distributed stochastic bandit algorithms
ICML 2013
Top-k Selection based on Adaptive Sampling of Noisy Preferences
ICML 2013