Polynomial time approximation schemes for clustering in low highway dimension graphs von Feldmann, Andreas Emil, Saulpic, David

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Near-linear Time Approximation Schemes for Clustering in Doubling Metrics von Cohen-Addad, Vincent, Feldmann, Andreas Emil, Saulpic, David

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Settling Time vs. Accuracy Tradeoffs for Clustering Big Data von Draganov, Andrew, Saulpic, David, Schwiegelshohn, Chris

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Approximation Algorithms and Sketches for Clustering von Saulpic, David

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Almost-linear Time Approximation Algorithm to Euclidean $k$-median and $k$-means von la Tour, Max Dupré, Saulpic, David

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Settling Time vs. Accuracy Tradeoffs for Clustering Big Data von Draganov, Andrew, Saulpic, David, Schwiegelshohn, Chris

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Découpage électoral des circonscriptions législatives en France: Déséquilibres démographiques et contraintes territoriales von Ehrhard, Thomas, Attias, Solal, Bampis, Evripidis, Cohen-Addad, Vincent, Escoffier, Bruno, Mathieu, Claire, Pascual, Fanny, Pass-Lanneau, Adèle, Saulpic, David

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Experimental Evaluation of Fully Dynamic k-Means via Coresets von Henzinger, Monika, Saulpic, David, Sidl, Leonhard

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Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation von Cohen-Addad, Vincent, Saulpic, David, Schwiegelshohn, Chris

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Découpage électoral des circonscriptions législatives en France von Ehrhard, Thomas, Attias, Solal, Bampis, Evripidis, Cohen-Addad, Vincent, Escoffier, Bruno, Mathieu, Claire, Pascual, Fanny, Pass-Lanneau, Adèle, Saulpic, David

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Fully Dynamic k-Means Coreset in Near-Optimal Update Time von la Tour, Max Dupré, Henzinger, Monika, Saulpic, David

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Making Old Things New: A Unified Algorithm for Differentially Private Clustering von la Tour, Max Dupré, Henzinger, Monika, Saulpic, David

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A New Coreset Framework for Clustering von Cohen-Addad, Vincent, Saulpic, David, Schwiegelshohn, Chris

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Polynomial Time Approximation Schemes for Clustering in Low Highway Dimension Graphs von Feldmann, Andreas Emil, Saulpic, David

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Differential Privacy for Clustering Under Continual Observation von la Tour, Max Dupré, Henzinger, Monika, Saulpic, David

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Sensitivity Sampling for $k$-Means: Worst Case and Stability Optimal Coreset Bounds von Bansal, Nikhil, Cohen-Addad, Vincent, Prabhu, Milind, Saulpic, David, Schwiegelshohn, Chris

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Almost-linear Time Approximation Algorithm to Euclidean \(k\)-median and \(k\)-means von Max Dupré la Tour, Saulpic, David

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Towards Optimal Lower Bounds for k-median and k-means Coresets von Cohen-Addad, Vincent, Larsen, Kasper Green, Saulpic, David, Schwiegelshohn, Chris

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Settling Time vs. Accuracy Tradeoffs for Clustering Big Data von Draganov, Andrew, Saulpic, David, Schwiegelshohn, Chris

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Generating Functionally Equivalent Programs Having Non-isomorphic Control-Flow Graphs von Géraud, Rémi, Koscina, Mirko, Lenczner, Paul, Naccache, David, Saulpic, David

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