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20192023
most citedWhen Does Differentially Private Learning Not Suffer in High Dimensions?

8 citations · 36 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.DS2023★ 1 cited

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler

Sivakanth Gopi, Yin Tat Lee, Daogao Liu +2

The development of efficient sampling algorithms catering to non-Euclidean geometries has been a challenging endeavor, as discretization techniques which succeed in the Euclidean s…

cs.DS2022★ 2 cited

Pandora Box Problem with Nonobligatory Inspection: Hardness and Approximation Scheme

Hu Fu, Jiawei Li, Daogao Liu

Weitzman (1979) introduced the Pandora Box problem as a model for sequential search with inspection costs, and gave an elegant index-based policy that attains provably optimal expe…

cs.DS2022★ 4 cited

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

In this paper, we study private optimization problems for non-smooth convex functions on . We show that modifying the exponential mechanism…

cs.DS2021

Multi-token Markov Game with Switching Costs

Jian Li, Daogao Liu

We study a general Markov game with metric switching costs: in each round, the player adaptively chooses one of several Markov chains to advance with the objective of minimizing th…

cs.DS2020

Super-resolution and Robust Sparse Continuous Fourier Transform in Any Constant Dimension: Nearly Linear Time and Sample Complexity

Yaonan Jin, Daogao Liu, Zhao Song

The ability to resolve detail in the object that is being imaged, named by resolution, is the core parameter of an imaging system. Super-resolution is a class of techniques that ca…

cs.DS2019★ 2 cited

Algorithms and Adaptivity Gaps for Stochastic -TSP

Haotian Jiang, Jian Li, Daogao Liu +1

Given a metric and a , the classic $\textsf{$k$-TSP}$ problem is to find a tour originating at the of minimum length that visits at lea…