On the Parameterized Complexity of Compact Set Packing von Gadekar, Ameet

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Improved learning of k-parities von Bhattacharyya, Arnab, Gadekar, Ameet, Rajgopal, Ninad

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On the parameterized complexity of Compact Set Packing von Gadekar, Ameet

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Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights von Gadekar, Ameet, Gionis, Aristides, Thejaswi, Suhas

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Improved Learning of k-Parities von Bhattacharyya, Arnab, Gadekar, Ameet, Rajgopal, Ninad

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FPT approximations for Capacitated Sum of Radii and Diameters von Arnold Filtser, Gadekar, Ameet

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Independent set in $k$-Claw-Free Graphs: Conditional $\chi$-boundedness and the Power of LP/SDP Relaxations von Chalermsook, Parinya, Gadekar, Ameet, Khodamoradi, Kamyar, Spoerhase, Joachim

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Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights von Gadekar, Ameet, Gionis, Aristides, Thejaswi, Suhas

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Parameterized Approximation for Robust Clustering in Discrete Geometric Spaces von Abbasi, Fateme, Banerjee, Sandip, Byrka, Jarosław, Chalermsook, Parinya, Gadekar, Ameet, Khodamoradi, Kamyar, Marx, Dániel, Sharma, Roohani, Spoerhase, Joachim

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Parameterized Approximation Schemes for Clustering with General Norm Objectives von Abbasi, Fateme, Banerjee, Sandip, Byrka, Jarosław, Chalermsook, Parinya, Gadekar, Ameet, Khodamoradi, Kamyar, Marx, Dániel, Sharma, Roohani, Spoerhase, Joachim

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Independent Set in k-Claw-Free Graphs: Conditional \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{am... von Chalermsook, Parinya, Gadekar, Ameet, Khodamoradi, Kamyar, Spoerhase, Joachim

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Clustering with fair-center representation: parameterized approximation algorithms and heuristics von Thejaswi, Suhas, Gadekar, Ameet, Ordozgoiti, Bruno, Osadnik, Michal

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On learning k-parities with and without noise von Bhattacharyya, Arnab, Gadekar, Ameet, Rajgopal, Ninad

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On the hardness of learning sparse parities von Bhattacharyya, Arnab, Gadekar, Ameet, Ghoshal, Suprovat, Saket, Rishi

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On learning k-parities with and without noise von Bhattacharyya, Arnab, Gadekar, Ameet, Rajgopal, Ninad

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On the hardness of learning sparse parities von Bhattacharyya, Arnab, Gadekar, Ameet, Ghoshal, Suprovat, Saket, Rishi

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