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06/01/2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
In this paper, we study the problem of (finite horizon tabular) Markov d...
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02/27/2023
On Differentially Private Federated Linear Contextual Bandits
We consider cross-silo federated linear contextual bandit (LCB) problem ...
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07/23/2022
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
We present a non-asymptotic lower bound on the eigenspectrum of the desi...
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07/06/2022
Model Selection in Reinforcement Learning with General Function Approximations
We consider model selection for classic Reinforcement Learning (RL) envi...
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06/12/2022
Distributed Differential Privacy in Multi-Armed Bandits
We consider the standard K-armed bandit problem under a distributed trus...
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02/11/2022
Shuffle Private Linear Contextual Bandits
Differential privacy (DP) has been recently introduced to linear context...
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01/18/2022
Bregman Deviations of Generic Exponential Families
We revisit the method of mixture technique, also known as the Laplace me...
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12/20/2021
Differentially Private Regret Minimization in Episodic Markov Decision Processes
We study regret minimization in finite horizon tabular Markov decision p...
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08/26/2021
Adaptive Control of Differentially Private Linear Quadratic Systems
In this paper, we study the problem of regret minimization in reinforcem...
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07/13/2021
Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes
We address the problem of model selection for the finite horizon episodi...
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11/16/2020
No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach
We consider the regret minimisation problem in reinforcement learning (R...
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08/20/2020
No-regret Algorithms for Multi-task Bayesian Optimization
We consider multi-objective optimization (MOO) of an unknown vector-valu...
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11/04/2019
On Online Learning in Kernelized Markov Decision Processes
We develop algorithms with low regret for learning episodic Markov decis...
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11/04/2019
On Batch Bayesian Optimization
We present two algorithms for Bayesian optimization in the batch feedbac...
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09/16/2019
Bayesian Optimization under Heavy-tailed Payoffs
We consider black box optimization of an unknown function in the nonpara...
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05/21/2018