Sijing Tu

I recently graduated from KTH.

[Stefan Neumann | @neumannstefan.com @StefanResearch]

The other platform is much better now. Please join us.

[Tim van Erven @tverven]

The final draft of @BachFrancis's excellent new learning theory book is available: https://t.co/NcQX01ey3i He doesn't cover VC dimension, but builds up from regression to general smooth losses, which is heresy of course, but actually fills a much-needed niche. Highly recommended!

[Sijing Tu @SijingTu]

@yu5k3 A classic ChatGPT answer!

[Sijing Tu @SijingTu]

@StefanResearch Probably pretty standard techniques if you get a PhD in that area :)

[Stefan Neumann | @neumannstefan.com @StefanResearch]

I am hiring for a student assistant (BSc/MSc student) to perform research & implementation tasks. The project is about data structures for data science algorithms.

See the job ad below & please contact me if you have any questions.

Deadline: August 29

https://t.co/i76asH8BuB

[Barna Saha @B1ar2n3a]

The talk is now available from the link below.
https://t.co/de3rX14yEL

[Math Cafe @Riazi_Cafe_en]

MIT's lecture notes for "Probabilistic Methods in Combinatorics"

A graduate-level introduction to the probabilistic method, a powerful technique in combinatorics and CS.

https://t.co/hZNtSHg6C8

[Probability Fact @ProbFact]

DasGupta's inequality for normal random variables

[Aris Gionis @gionis]

Assistant professor position on algorithms and data analysis in KTH Royal Institute of Technology @KTHuniversity, funded by @WASP_Research. More details and online application: https://t.co/3OO0W7pAad Deadline: May 3, 2024

[Kasper Green Larsen @kasperglarsen]

Trying again - two post docs in learning theory under my supervision at Aarhus University are available deadline April 25th. Please share.

https://t.co/nVJ6V0WjxN

[Tommaso Lanciano @TommasoLanciano]

Just accepted for publication at ACM CSUR our deep-dive into Densest Subgraph problem! 🎉

Funny project realized with a very cool team! 👨‍👨‍👦‍👦

It is a comprehensive source for those interested in graph optimization problems where the objective function is a notion of density 🕸️

[Aris Gionis @gionis]

Join my group in @KTHresearch! One PhD position funded by @WASP_Research. Application deadline Feb 29, 2024. More details at https://t.co/LsTNrYPBBR #DataScience #MachineLearning #AI #AlgorithmsResearch

[Kiran Garimella @gvrkiran]

I'm looking for research assistants this semester to work on projects incl. data collection, analysis & running experiments to mitigate misinformation

Ideal for third/final yr undergrads or masters students

If you are interested please email me your CV or DM

more below 👇

[Almost Sure @Almost_Sure]

A random walk is

Sₙ = X₁+⋯+Xₙ

for IID sequence Xₙ. What is the probability that the first n terms are all negative?

Interestingly, if Xₙ has a continuous and symmetric distribution, there is a simple answer which does not further depend on the distribution.

[Johan Ugander @jugander]

First week of fall classes at Stanford. I'm teaching a new MS-level class, Social Algorithms, w/ detailed syllabus here: https://t.co/SZED87QWNg Draws on syllabi by @5harad @msalganik @ashton1anderson & others. Input appreciated!

Also, I'm now on the other place as jugander.

[Sijing Tu @SijingTu]

@jonassjuul Hi Jonas, may I ask will the presentations be uploaded to YouTube?

[Jonas L. Juul @jonassjuul]

Talk title, David Lazer: "The emergent logic of the Online Information Ecosystem"

Talk title, Jon Kleinberg: "The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization"

[Stefan Neumann | @neumannstefan.com @StefanResearch]

Tomorrow we will present another paper at #KDD2023:

"Adversaries with Limited Information in the Friedkin–Johnsen Model"
led by @SijingTu & joint with Aris @gionis.

This is part of a bigger agenda to develop a theory for what is going in online social networks.

Read on.⬇️⬇️⬇️

[Sijing Tu @SijingTu]

Our paper's full version: https://t.co/TergE6jfYc

[Sijing Tu @SijingTu]

Our paper "Adversaries with Limited Information in the Friedkin-Johnsen Model" with Stefan @StefanResearch and Aris @gionis is out at KDD Proceedings (https://t.co/nnqi8BsVr8).

I am super excited to meet and discuss with you at Long Beach. See you there soon! #KDD23