Abbas Mehrabian
7 papers · 2017–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π₯
Unstoppable Β· Bronze
π
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Research topics
Keywords
neural network
(3)
learning theory
(3)
regret bound
(3)
multi-armed bandit
(3)
stochastic bandit
(2)
piecewise linear
(1)
sample compression
(1)
thompson sampling
(1)
distribution learning
(1)
upper confidence bound
(1)
gaussian distribution
(1)
tree search
(1)
relu activation
(1)
linear bandit
(1)
minimax optimal regret
(1)
adversarial bandit
(1)
structured bandit
(1)
gaussian mixture
(1)
tabu search
(1)
mixture of gaussian
(1)
Papers
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
IJCAI 2024
Regret Bounds for Batched Bandits
AAAI 2021
A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players
AISTATS 2020
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
AISTATS 2020
Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks
JMLR 2019
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
NeurIPS 2018
Nearly-tight VC-dimension bounds for piecewise linear neural networks
COLT 2017