activity
20172022
most citedPublic Transport Planning: When Transit Network Connectivity Meets Commuting Demand

21 citations · 43 across the 11 of their papers we have counts for

collaborators

17 papers

cs.DS2022

Near-Linear Sample Complexity for Polynomial Regression

Raphael A. Meyer, Cameron Musco, Christopher Musco +2

We study polynomial regression. Given query access to a function , the goal is to find a degree polynomial such that, for a giv…

cs.DS20221 cited

Fast Regression for Structured Inputs

Raphael A. Meyer, Cameron Musco, Christopher Musco +2

We study the regression problem, which requires finding that minimizes for a matrix $\mathbf{A}\in\mat…

cs.DS2021

Dynamic Trace Estimation

Prathamesh Dharangutte, Christopher Musco

We study a dynamic version of the implicit trace estimation problem. Given access to an oracle for computing matrix-vector multiplications with a dynamically changing matrix A, our…

cs.SI20211 cited

How to Quantify Polarization in Models of Opinion Dynamics

Christopher Musco, Indu Ramesh, Johan Ugander +1

It is widely believed that society is becoming increasingly polarized around important issues, a dynamic that does not align with common mathematical models of opinion formation in…

cs.DB202121 cited

Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand

Sheng Wang, Yuan Sun, Christopher Musco +1

In this paper, we make a first attempt to incorporate both commuting demand and transit network connectivity in bus route planning (CT-Bus), and formulate it as a constrained optim…

cs.LG2020

The Statistical Cost of Robust Kernel Hyperparameter Tuning

Raphael A. Meyer, Christopher Musco

This paper studies the statistical complexity of kernel hyperparameter tuning in the setting of active regression under adversarial noise. We consider the problem of finding the be…