Machine learning (ML) models are increasingly pivotal in automating clin...
Collective communications are an indispensable part of distributed train...
This workshop Report Out focuses on the foundational elements of trustwo...
Multi-Task Learning (MTL) has shown its importance at user products for ...
The classic facility location problem seeks to open a set of facilities ...
While gerrymandering has been widely suspected in Georgia for years, it ...
Discovery program (DISC) is an affirmative action policy used by the New...
Companies that try to address inequality in employment face a hiring par...
The minimum linear ordering problem (MLOP) seeks to minimize an aggregat...
Optimization algorithms such as projected Newton's method, FISTA, mirror...
We analyze a distributed approach for automatically reconfiguring
distri...
Prices generated by automated price experimentation algorithms often dis...
Given a graph G = (V,E) with vertex weights w(v) and a desired number of...
Gliomas are one of the most frequent brain tumors and are classified int...
We present methods for constructing any target coupling graph using limi...
Descent directions such as movement towards Frank-Wolfe vertices, away s...
The theory of discrete-time online learning has been successfully applie...
There is an inherent problem in the way students are evaluated - be it
s...
This is the first paper to give provable approximation guarantees for th...
Existing deep neural networks, say for image classification, have been s...
The concept of individual fairness advocates similar treatment of simila...