Junghyun Lee
Junghyun Lee
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Community Detection in Block Models: From SBMs to Block Markov Chains
Event Weekly OSI Lab Seminar Short summary In this seminar, I will first give a brief yet comprehensive overview of the seminal results on community detection in stochastic block models (SBMs).
Oct 26, 2023
Community Detection in Block Models: From SBMs to Block Markov Chains
Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will first give a brief yet comprehensive overview of the seminal results on community detection in stochastic block models (SBMs).
Sep 15, 2023
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
Event Weekly OSI Lab Seminar Short summary In this seminar, I will talk about the paper “Poisson Learning - Graph Based Semi-Supervised Learning At Very Low Label Rates” (Calder et al.
Jul 23, 2021
How Powerful are Graph Neural Networks?
Event Weekly OSI Lab Seminar Short summary In this seminar, I will talk about the influential paper “How Powerful are Graph Neural Networks?” (Xu et al., ICLR'19 oral). Abstract (taken directly from the paper)
Jan 22, 2021
Conference Week (NeurIPS 2020)
Event OSI Lab Conference Week (NeurIPS 2020) Short summary In this seminar titled Topics not covered by anyone… (kind of), I will talk about 4 NeurIPS 2020 papers (all of which are theory-heavy) that I thought were interesting, whose topics were not covered by anyone in OSI Lab.
Jan 7, 2021
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
A novel problem setting where heterogeneous multi-agent bandits collaborate over a network to minimize their group regret. To deal with the high communication complexity of the classic flooding protocol combined with UCB, a new network protocol called Flooding with Absorption (FwA) is proposed. Theoretical and empirical analyses are provded for flooding and FwA, showing the efficacy of our proposed FwA.
Junghyun Lee
,
Laura Schmid
,
Se-Young Yun
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