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02/23/2023
A Definition of Non-Stationary Bandits
The subject of non-stationary bandit learning has attracted much recent ...
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02/22/2023
Experimenting under Stochastic Congestion
Stochastic congestion, a phenomenon in which a system becomes temporaril...
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06/06/2022
CARE: Resource Allocation Using Sparse Communication
We propose a new framework for studying effective resource allocation in...
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05/04/2022
Nonstationary Bandit Learning via Predictive Sampling
We propose predictive sampling as an approach to selecting actions that ...
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01/06/2022
Gaussian Imagination in Bandit Learning
Assuming distributions are Gaussian often facilitates computations that ...
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09/23/2021
Treatment Effects in Market Equilibrium
In evaluating social programs, it is important to measure treatment effe...
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05/18/2021
Learning and Information in Stochastic Networks and Queues
We review the role of information and learning in the stability and opti...
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03/07/2021
Hierarchical Causal Bandit
Causal bandit is a nascent learning model where an agent sequentially ex...
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02/23/2021
Learner-Private Online Convex Optimization
Online convex optimization is a framework where a learner sequentially q...
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02/18/2021
A Bit Better? Quantifying Information for Bandit Learning
The information ratio offers an approach to assessing the efficacy with ...
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01/25/2021
Diffusion Asymptotics for Sequential Experiments
We propose a new diffusion-asymptotic analysis for sequentially randomiz...
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11/15/2019
Query Complexity of Bayesian Private Learning
We study the query complexity of Bayesian Private Learning: a learner wi...
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10/30/2019
Dynamically Protecting Privacy, under Uncertainty
We propose and analyze the ε-Noisy Goal Prediction Game to study a funda...
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07/29/2019
Reinforcement with Fading Memories
We study the effect of imperfect memory on decision making in the contex...
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04/17/2019
Information and Memory in Dynamic Resource Allocation
We propose a general framework, dubbed Stochastic Processing under Imper...
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05/06/2018