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20092026
most citedData Poisoning Attacks on Stochastic Bandits

30 citations · 165 across the 49 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.PF2019

On the Asymptotic Optimality of Work-Conserving Disciplines in Completion Time Minimization

Wenxin Li

In this paper, we prove that under mild stochastic assumptions, work-conserving disciplines are asymptotic optimal for minimizing total completion time. As a byproduct of our analy…

cs.IT2019

Optimizing Information Freshness using Low-Power Status Updates via Sleep-Wake Scheduling

Ahmed M. Bedewy, Yin Sun, Rahul Singh +1

In this paper, we consider the problem of optimizing the freshness of status updates that are sent from a large number of low-power source nodes to a common access point. The sourc…

cs.IT2019

Delay-Optimal and Energy-Efficient Communications with Markovian Arrivals

Xiaoyu Zhao, Wei Chen, Joohyun Lee +1

In this paper, delay-optimal and energy-efficient communication is studied for a single link under Markov random arrivals. We present the optimal tradeoff between delay and power o…

cs.LG201930 cited

Data Poisoning Attacks on Stochastic Bandits

Fang Liu, Ness Shroff

Stochastic multi-armed bandits form a class of online learning problems that have important applications in online recommendation systems, adaptive medical treatment, and many othe…

cs.DS2019

A Faster FPTAS for Knapsack Problem With Cardinality Constraint

Wenxin Li, Joohyun Lee

We study the -item knapsack problem (i.e., -dimensional KP), which is a generalization of the famous 0-1 knapsack problem (i.e., -dimensional KP) in which an upper bound…

cs.DC20192 cited

Fundamental Limits of Approximate Gradient Coding

Sinong Wang, Jiashang Liu, Ness Shroff

It has been established that when the gradient coding problem is distributed among servers, the computation load (number of stored data partitions) of each worker is at least $…