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Approximate Deterministic Counting via Marginal Entropy Optimization
Simons Institute for the Theory of Computing
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Deterministic Approximate Counting for Degree-2 Polynomial Threshold Functions
Simons Institute for the Theory of Computing
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Counting and Optimization Using Stable Polynomials
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 for Stochastic Optimization I
Simons Institute for the Theory of Computing
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Algorithms Seminar Andrea Bertazzi Euler approximations for Piecewise deterministic Markov processes
Warwick Statistics Department
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STOC 2020 - Workshop 1: New Frontiers in Approximate Counting
Association for Computing Machinery (ACM)
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Approximating the Permanent of a Random Matrix with Vanishing Mean
Simons Institute for the Theory of Computing
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