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20142026
most citedTightening Mutual Information Based Bounds on Generalization Error

78 citations · 319 across the 37 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

math.ST2022

Robust Multi-Hypothesis Testing with Moment Constrained Uncertainty Sets

Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli +1

The problem of robust binary hypothesis testing is studied. Under both hypotheses, the data-generating distributions are assumed to belong to uncertainty sets constructed through m…

cs.LG2022★ 1 cited

Robust Constrained Reinforcement Learning

Yue Wang, Fei Miao, Shaofeng Zou

Constrained reinforcement learning is to maximize the expected reward subject to constraints on utilities/costs. However, the training environment may not be the same as the test o…

eess.SP2022★ 6 cited

Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples

Zhongchang Sun, Shaofeng Zou

The problem of quickest anomaly detection in networks with unlabeled samples is studied. At some unknown time, an anomaly emerges in the network and changes the data-generating dis…

cs.CR2022★ 1 cited

Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation

Alessandro Baccarini, Marina Blanton, Shaofeng Zou

Secure multi-party computation has seen substantial performance improvements in recent years and is being increasingly used in commercial products. While a significant amount of wo…

cs.LG2022

Finite-Time Error Bounds for Greedy-GQ

Yue Wang, Yi Zhou, Shaofeng Zou

Greedy-GQ with linear function approximation, originally proposed in \cite{maei2010toward}, is a value-based off-policy algorithm for optimal control in reinforcement learning, and…

cs.LG2022★ 11 cited

Policy Gradient Method For Robust Reinforcement Learning

Yue Wang, Shaofeng Zou

This paper develops the first policy gradient method with global optimality guarantee and complexity analysis for robust reinforcement learning under model mismatch. Robust reinfor…

eess.SP2022

Kernel Robust Hypothesis Testing

Zhongchang Sun, Shaofeng Zou

The problem of robust hypothesis testing is studied, where under the null and the alternative hypotheses, the data-generating distributions are assumed to be in some uncertainty se…

eess.SP2022★ 13 cited

Quickest Change Detection in Anonymous Heterogeneous Sensor Networks

Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang +1

The problem of quickest change detection (QCD) in anonymous heterogeneous sensor networks is studied. There are heterogeneous sensors and a fusion center. The sensors are clust…