activity
20082025
most citedReconciling modern machine learning practice and the bias-variance trade-off

1.6k citations · 4.2k across the 71 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

astro-ph.CO2016★ 32 cited

Do dark matter halos explain lensing peaks?

José Manuel Zorrilla Matilla, Zoltán Haiman, Daniel Hsu +2

We have investigated a recently proposed halo-based model, Camelus, for predicting weak-lensing peak counts, and compared its results over a collection of 162 cosmologies with thos…

math.ST2016★ 52 cited

Global analysis of Expectation Maximization for mixtures of two Gaussians

Ji Xu, Daniel Hsu, Arian Maleki

Expectation Maximization (EM) is among the most popular algorithms for estimating parameters of statistical models. However, EM, which is an iterative algorithm based on the maximu…

cs.DS2016★ 5 cited

Greedy bi-criteria approximations for -medians and -means

Daniel Hsu, Matus Telgarsky

This paper investigates the following natural greedy procedure for clustering in the bi-criterion setting: iteratively grow a set of centers, in each round adding the center from a…

math.ST2016

Kernel ridge vs. principal component regression: minimax bounds and adaptability of regularization operators

Lee H. Dicker, Dean P. Foster, Daniel Hsu

Regularization is an essential element of virtually all kernel methods for nonparametric regression problems. A critical factor in the effectiveness of a given kernel method is the…

cs.LG2016★ 4 cited

Search Improves Label for Active Learning

Alina Beygelzimer, Daniel Hsu, John Langford +1

We investigate active learning with access to two distinct oracles: Label (which is standard) and Search (which is not). The Search oracle models the situation where a human search…