activity
20062023
most citedAsymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)

258 citations · 976 across the 76 of their papers we have counts for

collaborators

76 papers

cs.IT2023

Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators

Hang Zhang, Ping Li

This paper considers the sparse recovery with shuffled labels, i.e., $\by = \bPitrue \bX \bbetatrue + \bw$, where $\by \in \RR^n$, $\bPi\in \RR^{n\times n}$, $\bX\in \RR^{n\times p…

stat.ML2022

Boosting the Confidence of Generalization for -Stable Randomized Learning Algorithms

Xiao-Tong Yuan, Ping Li

Exponential generalization bounds with near-tight rates have recently been established for uniformly stable learning algorithms. The notion of uniform stability, however, is string…

stat.ML2022

GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks

Ping Li, Weijie Zhao

We develop the "generalized consistent weighted sampling" (GCWS) for hashing the "powered-GMM" (pGMM) kernel (with a tuning parameter ). It turns out that GCWS provides a numeri…

math.ST2021

High-Order Statistical Functional Expansion and Its Application To Some Nonsmooth Problems

Fan Zhou, Ping Li, Cun-Hui Zhang

Let $\bx_j = \btheta +\bep_j, j=1,...,n$, be observations of an unknown parameter $\btheta$ in a Euclidean or separable Hilbert space $\scrH$, where $\bep_j$ are noises as random e…

stat.ML2021

Extreme Bandits using Robust Statistics

Sujay Bhatt, Ping Li, Gennady Samorodnitsky

We consider a multi-armed bandit problem motivated by situations where only the extreme values, as opposed to expected values in the classical bandit setting, are of interest. We p…

cs.LG2021

Discriminative Similarity for Data Clustering

Yingzhen Yang, Ping Li

Similarity-based clustering methods separate data into clusters according to the pairwise similarity between the data, and the pairwise similarity is crucial for their performance.…