Search Results for author: Liren Shan

Found 5 papers, 0 papers with code

Error-Tolerant E-Discovery Protocols

no code implementations31 Jan 2024 Jinshuo Dong, Jason D. Hartline, Liren Shan, Aravindan Vijayaraghavan

Our goal is to find a protocol that verifies that the responding party sends almost all responsive documents while minimizing the disclosure of non-responsive documents.

Explainable k-means. Don't be greedy, plant bigger trees!

no code implementations4 Nov 2021 Konstantin Makarychev, Liren Shan

Our randomized bi-criteria algorithm constructs a threshold decision tree that partitions the data set into $(1+\delta)k$ clusters (where $\delta\in (0, 1)$ is a parameter of the algorithm).

Clustering

Near-optimal Algorithms for Explainable k-Medians and k-Means

no code implementations2 Jul 2021 Konstantin Makarychev, Liren Shan

This is an improvement over the previous guarantees of $O(k)$ and $O(k^2)$ by Dasgupta et al (2020).

Improved Guarantees for k-means++ and k-means++ Parallel

no code implementations NeurIPS 2020 Konstantin Makarychev, Aravind Reddy, Liren Shan

In this paper, we study k-means++ and k-means++ parallel, the two most popular algorithms for the classic k-means clustering problem.

Clustering

Stochastic Linear Optimization with Adversarial Corruption

no code implementations4 Sep 2019 Yingkai Li, Edmund Y. Lou, Liren Shan

We extend the model of stochastic bandits with adversarial corruption (Lykouriset al., 2018) to the stochastic linear optimization problem (Dani et al., 2008).

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