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Approximation Algorithms for Stochastic Minimum Norm Combinatorial Optimization
Approximation Algorithms for Stochastic Optimization I
Approximation Algorithms for Stochastic Optimization II
Approximation Algorithms for Discrete Stochastic Optimization Problems
Approximation Algorithms for Stochastic Knapsack - David Aleman
Stochastic approximation algorithms with set-valued maps
The Short-path Algorithm for Combinatorial Optimization
Approximation Techniques for Stochastic Optimization Problems
Lecture 15 Approximation Algorithms
17. Complexity: Approximation Algorithms
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Last Updated: September 27, 2026
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Sharat Ibrahimpur (Waterloo); Chaitanya Swamy (Waterloo) Kamesh Munagala, Duke University simons.berkeley.edu/talks/kamesh-munagala-08-22-2016-1 We will survey recent work in the design of Abstract: The classical Knapsack problem takes as input a set of items with some fixed nonnegative values and weights. The goal ... Matthew Hastings, Microsoft Research simons.berkeley.edu/talks/matthew-hastings-06-14-18 Challenges in Quantum ... CMU: 2015 Spring: 15-251 Great Theoretical Ideas in Computer Science. MIT 6.046J Design and Analysis of
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