• About
  • Disclaimer
  • Privacy Policy
  • Contact
Sunday, May 18, 2025
Cyber Defense GO
  • Login
  • Home
  • Cyber Security
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
  • Computer Networking
  • Disaster Restoration
No Result
View All Result
  • Home
  • Cyber Security
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
  • Computer Networking
  • Disaster Restoration
No Result
View All Result
Cyber Defense Go
No Result
View All Result
Home Data Analysis

Charles Margossian and Lawrence Saul win AISTATS ’25 Finest Paper

Md Sazzad Hossain by Md Sazzad Hossain
0
Charles Margossian and Lawrence Saul win AISTATS ’25 Finest Paper
585
SHARES
3.2k
VIEWS
Share on FacebookShare on Twitter


It was simply introduced that Charles Margossian and Lawrence Saul gained the perfect paper award on the 2025 version of the Synthetic Intelligence and Statistics (AISTATS) convention. This information is so contemporary, it’s not but on the awards web page but. They gained for the next paper.

  • Charles C. Margossian and Lawrence Ok. Saul. 2025. Variational Inference in Location-Scale Households: Actual Restoration of the Imply and Correlation Matrix. AISTATS.

Right here’s Charles, nattily wearing a blue blazer for the award ceremony:

You might also like

Buyer Segmentation Utilizing Ok-Means Clustering – Dataquest

What Is Infrastructure Automation? – Dataconomy

An alternate Monty Corridor downside. As with the standard Monty Corridor downside, simply set it up as a likelihood tree and all of it works out

Photograph credit score: Daniel Lee (the Cornell CS professor, not the Stan developer)

For individuals who won’t know Charles, he was a Ph.D. pupil of Andrew’s, is presently a postdoc at Flatiron Institute, and as he posted right here just lately, is on his approach to begin a school place within the statistics division on the College of British Columbia (Vancouver). I can say from a entrance row seat that Lawrence is basically actually good at teaching writing and presenting and Charles is a superb presenter (although the latter wouldn’t assist with the perfect paper award—they knew about it earlier than the presentation so we received to see the apply speak). In the event you get an opportunity to take considered one of Lawrence’s scientific writing tutorials, take it—it’ll for positive offer you a leg-up in a greatest paper competitors.

It’s a small world in Bayesian-flavored AI and stats. I imagine that’s Stephan Mandt on the fitting of the picture—he’s the final program chair for AISTATS this yr. Stephan was a postdoc with Dave Blei at Columbia whereas I used to be there and labored with Matt Hoffman at Google. Charles has additionally printed papers on VI with Dave Blei. Daniel Lee (who took the picture above) was at Bell Labs with me within the late Nineteen Nineties. I generally bumped into Lawrence on the prepare again then going to AT&T Labs.

Tags: AISTATSCharlesLawrenceMargossianPaperSaulWin
Previous Post

Digital Sovereignty within the Age of AI – IT Connection

Next Post

NVIDIA Open-Sources Open Code Reasoning Fashions (32B, 14B, 7B)

Md Sazzad Hossain

Md Sazzad Hossain

Related Posts

Buyer Segmentation Utilizing Ok-Means Clustering – Dataquest
Data Analysis

Buyer Segmentation Utilizing Ok-Means Clustering – Dataquest

by Md Sazzad Hossain
May 18, 2025
What’s large information? Huge information
Data Analysis

What Is Infrastructure Automation? – Dataconomy

by Md Sazzad Hossain
May 18, 2025
An alternate Monty Corridor downside.  As with the standard Monty Corridor downside, simply set it up as a likelihood tree and all of it works out
Data Analysis

An alternate Monty Corridor downside. As with the standard Monty Corridor downside, simply set it up as a likelihood tree and all of it works out

by Md Sazzad Hossain
May 17, 2025
Easy methods to Set the Variety of Bushes in Random Forest
Data Analysis

Easy methods to Set the Variety of Bushes in Random Forest

by Md Sazzad Hossain
May 17, 2025
AI Improves Integrity in Company Accounting
Data Analysis

AI Improves Integrity in Company Accounting

by Md Sazzad Hossain
May 16, 2025
Next Post
NVIDIA Open-Sources Open Code Reasoning Fashions (32B, 14B, 7B)

NVIDIA Open-Sources Open Code Reasoning Fashions (32B, 14B, 7B)

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

AI In every single place: Empowerment or Entrapment?

AI In every single place: Empowerment or Entrapment?

January 28, 2025
Like human brains, giant language fashions purpose about numerous knowledge in a normal means | MIT Information

Like human brains, giant language fashions purpose about numerous knowledge in a normal means | MIT Information

February 22, 2025

Categories

  • Artificial Intelligence
  • Computer Networking
  • Cyber Security
  • Data Analysis
  • Disaster Restoration
  • Machine Learning

CyberDefenseGo

Welcome to CyberDefenseGo. We are a passionate team of technology enthusiasts, cybersecurity experts, and AI innovators dedicated to delivering high-quality, insightful content that helps individuals and organizations stay ahead of the ever-evolving digital landscape.

Recent

Buyer Segmentation Utilizing Ok-Means Clustering – Dataquest

Buyer Segmentation Utilizing Ok-Means Clustering – Dataquest

May 18, 2025
RingCentral Begins a New Chapter with RingCentral AI Receptionist – IT Connection

8×8 is Sending a Blended Message to the Market – IT Connection

May 18, 2025

Search

No Result
View All Result

© 2025 CyberDefenseGo - All Rights Reserved

No Result
View All Result
  • Home
  • Cyber Security
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
  • Computer Networking
  • Disaster Restoration

© 2025 CyberDefenseGo - All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In