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		<title>Computational Social Choice</title>
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		<pubDate>Mon, 05 Oct 2026 23:46:40 GMT</pubDate>
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		<category>Computational Social Choice</category>
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			<title>Fractional Pareto-Optimality in Multiwinner Voting. Fabian Frank (Technical University of Munich)</title>
			<link>http://www.cs.ox.ac.uk/seminars/2851.html</link>
			<description>&#x3c;p&#x3e;Efficiency in multiwinner voting is most naturally captured by Pareto-optimality (PO), yet this notion is computationally and structurally difficult to handle. We therefore study fractional Pareto-optimality (fPO), under which a committee may not be dominated even by a fractional committee, i.e., any convex combination of committees. fPO turns out to be a natural refinement of PO as it retains exactly those Pareto-optimal committees whose efficiency is robust under uniform cloning of candidates. Furthermore, fPO committees are guaranteed to exist and have strong structural properties. We present a characterization of fPO in terms of weighted utilitarian welfare maximization, which yields a polynomial-time algorithm for verifying fPO and shows that the set of fPO committees satisfies committee monotonicity and is connected under single-candidate swaps. Analyzing welfarist rules through the lens of fPO, we further uncover an incompatibility between fPO and equality-oriented objectives. Most notably, we show that proportional approval voting (PAV) violates fPO in the approval setting. We close by pinpointing preference domains, including various one-dimensional ones, on which PO and fPO collapse into one notion.&#x3c;/p&#x3e;
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			<pubDate>Mon, 05 Oct 2026 23:46:40 GMT</pubDate>
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