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FYI: no food! But there will be what looks to be a very interesting talk. <span id="🙂">
🙂</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif;">Best regards,</span></div>
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<span style="font-family: Calibri, Helvetica, sans-serif;">Christopher Kang</span></div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> uchicago-theory-students@googlegroups.com <uchicago-theory-students@googlegroups.com> on behalf of Christopher Kang <ctkang@uchicago.edu><br>
<b>Sent:</b> Thursday, October 5, 2023 2:00 AM<br>
<b>To:</b> theory@mailman.cs.uchicago.edu <theory@mailman.cs.uchicago.edu>; uchicago-theory-students@googlegroups.com <uchicago-theory-students@googlegroups.com><br>
<b>Cc:</b> Konstantinos Ameranis <kameranis@uchicago.edu><br>
<b>Subject:</b> Special Theory Seminar: Oct 12, Marios Papachristou</font>
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<div><span style="font-family:Calibri,Helvetica,sans-serif"><b class="x_elementToProof">Title: Resource Allocation in a Financial Contagion Environment</b></span></div>
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<span style="font-family:Calibri,Helvetica,sans-serif"><b>Location: </b></span><b><span class="x_ContentPasted0" style="font-family:Calibri,Helvetica,sans-serif; font-weight:400; display:inline!important; background-color:rgb(255,255,255)">Oct. 12 at 1pm in
JCL 390</span></b></div>
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<b><span class="x_ContentPasted0 x_ContentPasted1" style="font-family:Calibri,Helvetica,sans-serif; font-weight:400; display:inline!important; background-color:rgb(255,255,255)">Host: Konstantinos
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<div class="x_elementToProof"><span style="font-family:Calibri,Helvetica,sans-serif">Abstract: The pandemic has spread uncertainty among financial entities that experience income shocks. A policy framework is stimulus checks, i.e. cash injections into the financial
system so that consumption is stimulated, and contagion is averted. A cardinal question faced by policymakers is: Who gets the subsidies? A common pattern in these scenarios is that when somebody's income is below a certain threshold or satisfies some criterion
then the household is entitled to a stimulus check of fixed value which can depend on the entity's features. However, such rules are limited by ignoring contagion effects through the financial network. If a business defaults that may translate to job loss
for the employees who in their turn may not be able to pay their own debts, potentially creating a sequence of defaults. Our work studies resource allocations under financial contagion, through the lens of approximation algorithms and fairness. In closing,
we test our methods with real-world and semi-artificial data and compare them to heuristics.</span></div>
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<div><span style="font-family:Calibri,Helvetica,sans-serif">In the sequel, we generalize the static framework to the dynamic setting in which liabilities that are not paid at a certain round accumulate to the next round, as an MDP. We study fractional and (approximate)
discrete bailout allocation scenarios. Our framework is vastly applicable to a variety of domains: Specifically, in any problem that corresponds to a supply and demand network that evolves over time for which the nodes that cannot meet their demand have to
split it proportionally and the planner wants to allocate resources can be captured by this framework. Applications beyond financial transaction networks include ridesharing, high-performance computing, ad placement, influence maximization, financial transaction
networks on the Web, etc. Finally, we extend the notions of fairness to the dynamic setting.</span></div>
<div><span style="font-family:Calibri,Helvetica,sans-serif">This talk includes joint work with Jon Kleinberg and Sid Banerjee.</span></div>
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<span style="font-family:Calibri,Helvetica,sans-serif">Marios is a 4th-year Ph.D. Candidate in the Computer Science Department at Cornell University, advised by Prof. Jon Kleinberg. His interests span theoretical and practical aspects of information networks.
So far, his work has evolved around statistical network models, hypergraphs, and financial contagion. Marios has also worked at Twitter Cortex Applied Research, where he did research in scalable graph machine learning methods, and at the Office of Applied
Research at Microsoft, where he did research on the intersection of large language models and multi-agent systems. His research is supported by a scholarship from the Onassis Foundation and has been supported in the past by a LinkedIn PhD Fellowship, a Cornell
Fellowship, and grants from the A.G. Leventis Foundation and the Gerondelis Foundation.</span>
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<span style="font-family:Calibri,Helvetica,sans-serif">Best regards,</span></div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:12pt; color:rgb(0,0,0)">
<span style="font-family:Calibri,Helvetica,sans-serif">Christopher Kang</span></div>
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