activity
20132023
most citedTheoretically Principled Trade-off between Robustness and Accuracy

921 citations · 1.4k across the 54 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.LG2017★ 18 cited

Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations

Yuanzhi Li, Tengyu Ma, Hongyang Zhang

We show that the gradient descent algorithm provides an implicit regularization effect in the learning of over-parameterized matrix factorization models and one-hidden-layer neural…

cs.SI2017

Pruning based Distance Sketches with Provable Guarantees on Random Graphs

Hongyang Zhang, Huacheng Yu, Ashish Goel

Measuring the distances between vertices on graphs is one of the most fundamental components in network analysis. Since finding shortest paths requires traversing the graph, it is…

stat.ML2017

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…

stat.ML2017★ 1 cited

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…

cs.DS2017★ 6 cited

Matrix Completion and Related Problems via Strong Duality

Maria-Florina Balcan, Yingyu Liang, David P. Woodruff +1

This work studies the strong duality of non-convex matrix factorization problems: we show that under certain dual conditions, these problems and its dual have the same optimum. Thi…

stat.ML2017★ 8 cited

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…