Parnian Kassraie | DeepAI

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∙ 07/24/2023

Anytime Model Selection in Linear Bandits

Model selection in the context of bandit optimization is a challenging p...

0 Parnian Kassraie, et al. ∙

∙ 03/02/2023

Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

We study the problem of conservative off-policy evaluation (COPE) where ...

0 Jonas Rothfuss, et al. ∙

∙ 11/02/2022

Instance-Dependent Generalization Bounds via Optimal Transport

Existing generalization bounds fail to explain crucial factors that driv...

0 Songyan Hou, et al. ∙

∙ 10/27/2022

Lifelong Bandit Optimization: No Prior and No Regret

In practical applications, machine learning algorithms are often repeate...

0 Felix Schur, et al. ∙

∙ 07/13/2022

Graph Neural Network Bandits

We consider the bandit optimization problem with the reward function def...

42 Parnian Kassraie, et al. ∙

∙ 02/01/2022

Meta-Learning Hypothesis Spaces for Sequential Decision-making

Obtaining reliable, adaptive confidence sets for prediction functions (h...

0 Parnian Kassraie, et al. ∙

∙ 07/07/2021

Neural Contextual Bandits without Regret

Contextual bandits are a rich model for sequential decision making given...

0 Parnian Kassraie, et al. ∙

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