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Approximation Algorithms for Optimization under Uncertainty
Simons Institute for the Theory of Computing
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Approximation Algorithms for Stochastic Minimum Norm Combinatorial Optimization
IEEE FOCS: Foundations of Computer Science
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Approximation algorithms | Coping with limitations of algorithm power | Scholarly things
Scholarly Things
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STOC 2020 - Session 7A: Approximation Algorithms
Association for Computing Machinery (ACM)
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Optimization under Uncertainty: Understanding the Correlation Gap
Microsoft Research
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Approximating the optimum: Efficient algorithms and their limits
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A Unified Framework for Optimization under Uncertainty...
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R9. Approximation Algorithms: Traveling Salesman Problem
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Optimization under Uncertainty (Prof. Grossman Plenary) + Opening session
European Federation of Chemical Engineering
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Approximation Algorithms for Stochastic Optimization I
Simons Institute for the Theory of Computing
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