Stochastic Optimization

2022-12

Boosted Sampling
by Jacob Skitsko Abstract

2022-11

Greedy algorithm for stochastic matching is a 2-approximation
by Ian DeHaan Abstract
Approximation algorithms for stochastic orienteering
by Madison Van Dyk Abstract Video
Stochastic Minimum Norm Combinatorial Optimization
by Sharat Ibrahimpur Abstract Video
Approximation Algorithms for Stochastic Knapsack
by David Aleman Abstract Video

2022-10

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

2022-09

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

2022-08

Stochastic Optimization
by David Aleman Abstract Video

2022-07

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