28 citations · 62 across the 9 of their papers we have counts for
13 papers
A Deep Generative Approach to Conditional Sampling
Xingyu Zhou, Yuling Jiao, Jin Liu +1
We propose a deep generative approach to sampling from a conditional distribution based on a unified formulation of conditional distribution and generalized nonparametric regressio…
Adaptive Control of Differentially Private Linear Quadratic Systems
Sayak Ray Chowdhury, Xingyu Zhou, Ness Shroff
In this paper, we study the problem of regret minimization in reinforcement learning (RL) under differential privacy constraints. This work is motivated by the wide range of RL app…
Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks
Yao Wang, Xingyu Zhou, Yanming Wang +3
We introduce Tuna, a static analysis approach to optimizing deep neural network programs. The optimization of tensor operations such as convolutions and matrix multiplications is t…
No-Regret Algorithms for Time-Varying Bayesian Optimization
Xingyu Zhou, Ness Shroff
In this paper, we consider the time-varying Bayesian optimization problem. The unknown function at each time is assumed to lie in an RKHS (reproducing kernel Hilbert space) with a…
Local Differential Privacy for Bayesian Optimization
Xingyu Zhou, Jian Tan
Motivated by the increasing concern about privacy in nowadays data-intensive online learning systems, we consider a black-box optimization in the nonparametric Gaussian process set…
Optimal Load Balancing in Bipartite Graphs
Wentao Weng, Xingyu Zhou, R. Srikant
Applications in cloud platforms motivate the study of efficient load balancing under job-server constraints and server heterogeneity. In this paper, we study load balancing on a bi…