For those that couldn't make it, we've uploaded our full STOC workshop on High Dimensional Expanders to Youtube!
Hopefully a useful resource for learning the basics of HDX and how they're applied in TCS.
Talk 1: An introduction to HDX
https://t.co/IaVj4M4yok
Nice survey paper on low-degree algorithms by Alex Wein:
Computational Complexity of Statistics: New Insights from Low-Degree Polynomials
https://t.co/3BXtAwG6s7
Our Algorithms group at Microsoft Research is hiring interns in differential privacy, reasoning abilities of LLMs, and theory:
https://t.co/jTnIwdLKoe
https://t.co/qA4gNq001A
https://t.co/OoAddIMJkC
Excited to share our ICLR 2022 paper 😀 IGLU: Efficient GCN Training via Lazy Updates. Our poster session is in 3 hours at 3 PM IST, welcome to stop by!
Paper: https://t.co/tQ2CoE08tO
Poster: https://t.co/vWk1zV00kc
w/ @deepaknaray12@jainprateek_ , Sundar S., @PurushottamKar
Excited to share that our work on Efficient Training of GCNs has been accepted to #ICLR2022@iclr_conf🎉. Joint work at MSRI with my amazing collaborators @deepaknaray12, Sundararajan Sellamanickam, @PurushottamKar and @jainprateek_! Pre-print and code coming soon! Stay tuned!🥳
Some applications of IoTPy for social welfare are monitoring crises such earthquakes, detecting radiation, and managing critical infrastructure such as power systems and buildings. (2/3)
Today @deepaknaray12 presents our work (with @ApoorvAgnihotr2) on "Active learning for Air Quality Station Deployment" - where should you install AQ monitors at Real World ML workshop at @icmlconf 2020 #ICML2020
Slides: https://t.co/Y9En1rKE7i
Paper: https://t.co/DKUnWVNupc
Every once in awhile a paper comes out that makes you breathe a sigh of relief that you don't publish in that field...
https://t.co/56heAufhGA
"Our results show that when hyperparameters are properly tuned via cross-validation, most methods perform similarly to one another"
We learnt a lot while reproducing the paper. Hope our code is helpful to the community.
Thanks to @arimorcos for resolving our queries. Also a big thanks to @nipun_batra and @adagu for providing us the necessary compute resources.
#NeurIPS2019
Great to see that our recent #NeurIPS2019 paper on generalizing lottery tickets (https://t.co/TQweQmQCuY) has been reproduced as part of the NeurIPS reproducibility challenge by @Deepak120199, @VarunGohil9, and Atishay Jain!
Report: https://t.co/cH6mVpLhiq