6 papers
Online Algorithms via Minimax and Posterior Matching
Thomas Kesselheim, Marco Molinaro, Kalen Patton +1
Competitive analysis is central to the study of online algorithms, but upper bounds are often highly problem-specific. We develop a more unifying methodology via the minimax viewpo…
Online Combinatorial Optimization with Graphical Dependencies
Zhimeng Gao, Evangelia Gergatsouli, Kalen Patton +1
Most existing work in online stochastic combinatorial optimization assumes that inputs are drawn from independent distributions -- a strong assumption that often fails in practice.…
Online Allocation with Concave, Diminishing-Returns Objectives
Kalen Patton
Online resource allocation problems are central challenges in economics and computer science, modeling situations in which items arriving one at a time must each be immediately…
Integral Online Algorithms for Set Cover and Load Balancing with Convex Objectives
Thomas Kesselheim, Marco Molinaro, Kalen Patton +1
Online Set Cover and Load Balancing are central problems in online optimization, and there is a long line of work on developing algorithms for these problems with convex objectives…
The Online Submodular Assignment Problem
Daniel Hathcock, Billy Jin, Kalen Patton +2
Online resource allocation is a rich and varied field. One of the most well-known problems in this area is online bipartite matching, introduced in 1990 by Karp, Vazirani, and Vazi…
The Online Submodular Assignment Problem
Daniel Hathcock, Billy Jin, Kalen Patton +2
Online resource allocation is a rich and varied field. One of the most well-known problems in this area is online bipartite matching, introduced in 1990 by Karp, Vazirani, and Vazi…