921 citations · 1.4k across the 54 of their papers we have counts for
6 papers · 1 filter
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang, Hongyang R. Zhang, Sen Wu +2
The problem of learning one task using samples from another task is central to transfer learning. In this paper, we focus on answering the following question: when does combining t…
Regression Phalanxes
Hongyang Zhang, William J. Welch, Ruben H. Zamar
Tomal et al. (2015) introduced the notion of "phalanxes" in the context of rare-class detection in two-class classification problems. A phalanx is a subset of features that work we…
Noise-Tolerant Interactive Learning from Pairwise Comparisons
Yichong Xu, Hongyang Zhang, Aarti Singh +2
We study the problem of interactively learning a binary classifier using noisy labeling and pairwise comparison oracles, where the comparison oracle answers which one in the given…
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions
Maria-Florina Balcan, Hongyang Zhang
We provide new results for noise-tolerant and sample-efficient learning algorithms under -concave distributions. The new class of -concave distributions is a broad and natura…
Multi-rank Sparse Hierarchical Clustering
Hongyang Zhang, Ruben H. Zamar
There has been a surge in the number of large and flat data sets - data sets containing a large number of features and a relatively small number of observations - due to the growin…
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
Hongyang Zhang, Zhouchen Lin, Chao Zhang
Rank minimization has attracted a lot of attention due to its robustness in data recovery. To overcome the computational difficulty, rank is often replaced with nuclear norm. For s…