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03/07/2023
SALSA PICANTE: a machine learning attack on LWE with binary secrets
The Learning With Errors (LWE) problem is one of the major hard problems...
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12/13/2021
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations
We consider a multi-armed bandit setting where, at the beginning of each...
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12/11/2021
Privacy Amplification via Shuffling for Linear Contextual Bandits
Contextual bandit algorithms are widely used in domains where it is desi...
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12/02/2021
Differentially Private Exploration in Reinforcement Learning with Linear Representation
This paper studies privacy-preserving exploration in Markov Decision Pro...
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06/22/2021
A Unified Framework for Conservative Exploration
We study bandits and reinforcement learning (RL) subject to a conservati...
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03/17/2021
Homomorphically Encrypted Linear Contextual Bandit
Contextual bandit is a general framework for online learning in sequenti...
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10/15/2020
Local Differentially Private Regret Minimization in Reinforcement Learning
Reinforcement learning algorithms are widely used in domains where it is...
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02/10/2020
Adversarial Attacks on Linear Contextual Bandits
Contextual bandit algorithms are applied in a wide range of domains, fro...
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02/08/2020
Improved Algorithms for Conservative Exploration in Bandits
In many fields such as digital marketing, healthcare, finance, and robot...
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02/08/2020
Conservative Exploration in Reinforcement Learning
While learning in an unknown Markov Decision Process (MDP), an agent sho...
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12/07/2019
No-Regret Exploration in Goal-Oriented Reinforcement Learning
Many popular reinforcement learning problems (e.g., navigation in a maze...
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07/10/2018