Stochastic Optimization

Dec, 2022

Approximation algorithm for stochastic k-TSP
by David Aleman Abstract
Boosted Sampling
by Jacob Skitsko Abstract Video

Nov, 2022

Approximation algorithms for stochastic orienteering
by Madison Van Dyk Abstract Video
Stochastic Minimum Norm Combinatorial Optimization
by Sharat Ibrahimpur Abstract Video Slides
Approximation Algorithms for Stochastic Knapsack
by David Aleman Abstract Video

Oct, 2022

The Probabilistic Set-Covering Problem
by Noah Weninger Abstract Video
On the Adaptivity Gap of Stochastic Orienteering
by Paul Lawrence Abstract

Sep, 2022

Stochastic Probing with Applications
by David Kalichman Abstract Video
Conditional Value-at-Risk
by Nathan Benedetto Abstract Video

Aug, 2022

Stochastic Knapsack Problem
by David Aleman Abstract Video

Jul, 2022

Stochastic Load Balancing on Unrelated Machines
by Rian Neogi Abstract Video
Data-Driven Chance Constrained Programs over Wasserstein Balls
by Matheus Ota Abstract
Stochastic Optimization
by Ricardo Fukasawa Abstract Slides