Yishay Mansour
115 papers
· 2003–2025
· 9 conferences
· across top CS/AI conferences
Achievements
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Renaissance Researcher
(10)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(30)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
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Conference Polyglot
(9)
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Academic Marathon
(22)
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Cross-Pollinator
(14)
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Conference Loyalist
(34)
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Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(21)
π±
Topic Pioneer
π
Keyword Champion
π
Conference Pioneer
ποΈ
Keyword Collector
(110)
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Century Club
(115)
β‘
Prolific Year
(14)
π₯
Unstoppable
(14)
π
Trend Setter
Conferences
NIPS (34)
ICML (27)
COLT (21)
ALT (10)
AAAI (9)
JMLR (7)
AISTATS (3)
IJCAI (3)
UAI (1)
Top co-authors
Research topics
Keywords
regret bound
(37)
multi-armed bandit
(18)
online learning
(18)
sample complexity
(15)
markov decision process
(11)
reinforcement learning
(10)
differential privacy
(10)
online algorithm
(9)
regret minimization
(9)
adversarial learning
(8)
generalization bound
(8)
pac learning
(8)
stochastic optimization
(7)
bandit feedback
(5)
vc dimension
(4)
stochastic shortest path
(4)
multiclass classification
(4)
learning theory
(4)
agnostic learning
(4)
delayed feedback
(4)
Papers
Delay as Payoff in MAB
AAAI 2025
Principal-Agent Reward Shaping in MDPs
AAAI 2024
How to Boost Any Loss Function
NIPS 2024
A Theory of Interpretable Approximations
COLT 2024
Faster Convergence with MultiWay Preferences
AISTATS 2024
Fair Wrapping for Black-box Predictions
NIPS 2022
Monotone Learning
COLT 2022
Dueling Bandits with Team Comparisons
NIPS 2021
The Sparse Vector Technique, Revisited
COLT 2021
Dueling Convex Optimization
ICML 2021
Adversarial Dueling Bandits
ICML 2021
Prediction with Corrupted Expert Advice
NIPS 2020
Apprenticeship Learning via Frank-Wolfe
AAAI 2020
Adversarial Online Learning with noise
ICML 2019
Learning to Screen
NIPS 2019
Discriminative Learning of Prediction Intervals
AISTATS 2018
Online Linear Quadratic Control
ICML 2018
Efficient PAC Learning from the Crowd
COLT 2017
Online Learning with Low Rank Experts
COLT 2016
Learning Bounds for Importance Weighting
NIPS 2010
Domain Adaptation with Multiple Sources
NIPS 2008
From External to Internal Regret
JMLR 2007
Learning Rates for Q-learning
JMLR 2003