A polynomial-time algorithm computes exact second-price pacing equilibria for constant numbers of goods by partitioning the multiplier space into geometric cells with fixed bid orderings and reducing each to a linear feasibility program.
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AffineLens enumerates the maximal continuous piecewise-affine regions induced by neural networks with batch-norm, pooling, residuals and convolutions inside a bounded input polytope and supplies visualizations and region-count metrics.
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Pacing Equilibria in Second-Price Auctions with Few Goods
A polynomial-time algorithm computes exact second-price pacing equilibria for constant numbers of goods by partitioning the multiplier space into geometric cells with fixed bid orderings and reducing each to a linear feasibility program.
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AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks
AffineLens enumerates the maximal continuous piecewise-affine regions induced by neural networks with batch-norm, pooling, residuals and convolutions inside a bounded input polytope and supplies visualizations and region-count metrics.