osmanastats

Oxford Stein’s Method and Network Analysis (OSMANA) research group

[osmanastats @osmanastats]

Leoni Carla Wirth, @gh_aminian and @GesineReinert "Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance" Preprint available at https://t.co/0OgCEmqFIP

[osmanastats @osmanastats]

We are delighted to have two papers from our group accepted for AISTATS 2026:

@AnumFatima09 and @GesineReinert
"A pure hypothesis test for inhomogeneous random graph models based on a kernelised Stein discrepancy"
Preprint available at https://t.co/MegTtkDi1S

[Oxford Statistics @OxfordStats]

Congratulations to @osmanastats for winning the Alexey Chervonenkis award for the best paper at COPA 2024 (the 13thSymposium on Conformal and Probabilistic Prediction with Applications)! 🥳🎊

[osmanastats @osmanastats]

COPA 2024 (the 13thSymposium on Conformal and Probabilistic Prediction with Applications)

[osmanastats @osmanastats]

Exciting News!!!🎉🎉🎉

"Split Conformal Prediction under Data Contamination"
https://t.co/Q7TnaSlsXm

by Jason Clarkson, Wenkai Xu, Mihai Cucuringu and @GesineReinert
obtained the Alexey Chervonenkis Award for the best paper at  COPA 2024.

Congrats to all authors!

[Stat.ML Papers @StatMLPapers]

Generalization Error of Graph Neural Networks in the Mean-field Regime https://t.co/PILkBfBfjX

[Yixuan He @sherylhyx]

Excited to share that our paper "Robust Angular Synchronization via Directed Graph Neural Networks" has been accepted by #ICLR2024, thanks to @GesineReinert, David Wipf, and Mihai Cucuringu!

Paper: https://t.co/pZrXE6fLBS

Code: https://t.co/4UAxYvc8Lb

#GNN #digraphs #network

[Gesine Reinert @GesineReinert]

Very pleased to be part of this exciting endeavor!

[Oxford Statistics @OxfordStats]

StatML is welcoming applications for entry in fall of 2024! StatML is a 4-year cohort-based doctoral programme that will train the next generation of researchers in stats and statistical ML! Follow this link to know more and apply to be part of our upcoming cohort!

[Keble College, Oxford @KebleOxford]

Congratulations to Professor @GesineReinert, Professorial Fellow in Statistics at Keble, who was awarded the 2024 Bernoulli prize for an Outstanding Survey Article in Probability by @BernoulliSoc!

https://t.co/A32Z7tcaCP

[Gesine Reinert @GesineReinert]

This is a real honour!

[Vidit Nanda @viditnanda]

We're organizing a cool workshop on applied, computational and combinatorial algebraic geometry at the @NewtonInstitute in Cambridge (22-26 Jan 2024)!

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[Anum Fatima @AnumFatima09]

Attending the RandNET meeting 2023 in Prague. @commschols @osmanastats

[Anum Fatima @AnumFatima09]

Gave a short talk on "Stein's method for Erdös Rényi Mixture graph Models" at "RandNET meeting 2023" in Prague. @commschols @osmanastats

[Anum Fatima @AnumFatima09]

Presented my work on Stein's method for Erdös Rényi Mixture Graph (ERMG) models during 43rd Conference on Stochastic Processes and their Applications. @commschols @BernoulliSoc

[osmanastats @osmanastats]

@AnumFatima09 presented her work on Stein's method for Erdös Rényi Mixture Graph (ERMG) models which develops Stein's method for the said model, gives bounds on distance between ERMG and some other graph models, develops a gKSS based goodness-of-fit test for ERMG models.

[osmanastats @osmanastats]

Anum Fatima, Tadas Temcinas, Gesine Reinert and Anum' poster in Lisbon at the 43rd Conference on Stochastic Processes and their Applications.
@GesineReinert @AnumFatima09

[osmanastats @osmanastats]

Tadas Temcinas, Anum Fatima, Gesine Reinert and Tadas' poster in Lisbon at the 43rd Conference on Stochastic Processes and their Applications.
⁦@GesineReinert⁩ @AnumFatima09

[osmanastats @osmanastats]

Our group at "Distance-based methods in Machine Learning workshop" at UCL London ⁦@GesineReinert⁩ ⁦@AnumFatima09⁩ ⁦@WenkaiXuLu⁩

[Anum Fatima @AnumFatima09]

Gave a short talk about my work on "Stein's method for Erdos Renyi Mixture Graph models" at Distance Based Methods in Machine Learning Workshop at UCL today. @commschols @osmanastats