Yeganeh Alimohammadi
@yeganeha.bsky.social
Assistant Prof. USC Marshall in Data Science and Operations,
Postdoc UCBerkeley, PhD Stanford
Postdoc UCBerkeley, PhD Stanford
Reposted by Yeganeh Alimohammadi
I wrote a post on how to connect with people (i.e., make friends) at CS conferences. These events can be intimidating so here's some suggestions on how to navigate them
I'm late for #ICLR2025 #NAACL2025, but in time for #AISTATS2025 #ICML2025! 1/3
kamathematics.wordpress.com/2025/05/01/t...
I'm late for #ICLR2025 #NAACL2025, but in time for #AISTATS2025 #ICML2025! 1/3
kamathematics.wordpress.com/2025/05/01/t...
Tips on How to Connect at Academic Conferences
I was a kinda awkward teenager. If you are a CS researcher reading this post, then chances are, you were too. How to navigate social situations and make friends is not always intuitive, and has to …
kamathematics.wordpress.com
May 1, 2025 at 12:57 PM
I wrote a post on how to connect with people (i.e., make friends) at CS conferences. These events can be intimidating so here's some suggestions on how to navigate them
I'm late for #ICLR2025 #NAACL2025, but in time for #AISTATS2025 #ICML2025! 1/3
kamathematics.wordpress.com/2025/05/01/t...
I'm late for #ICLR2025 #NAACL2025, but in time for #AISTATS2025 #ICML2025! 1/3
kamathematics.wordpress.com/2025/05/01/t...
What if your ranking model learned how ranking errors should be penalized?
Our new work generalizes the Mallows model and:
• Jointly estimates the distance metric, dispersion, and central ranking
• Provides a provably efficient sampler (FPTAS!)
• Validates on real-world data
Our new work generalizes the Mallows model and:
• Jointly estimates the distance metric, dispersion, and central ranking
• Provides a provably efficient sampler (FPTAS!)
• Validates on real-world data
yalimohammadi.github.io
June 30, 2025 at 12:25 AM
What if your ranking model learned how ranking errors should be penalized?
Our new work generalizes the Mallows model and:
• Jointly estimates the distance metric, dispersion, and central ranking
• Provides a provably efficient sampler (FPTAS!)
• Validates on real-world data
Our new work generalizes the Mallows model and:
• Jointly estimates the distance metric, dispersion, and central ranking
• Provides a provably efficient sampler (FPTAS!)
• Validates on real-world data
hi bluesky 👋 I’m starting a blog! First post on how I use GenAI in my workflow as an academic. give it a read + tell me what you think:
yeganeha.substack.com/p/academic-p... #GenAI #Academia
yeganeha.substack.com/p/academic-p... #GenAI #Academia
Academic Productivity with GenAI: A Researcher’s Guide
My Everyday Use of GenAI as a Researcher
yeganeha.substack.com
June 9, 2025 at 3:45 PM
hi bluesky 👋 I’m starting a blog! First post on how I use GenAI in my workflow as an academic. give it a read + tell me what you think:
yeganeha.substack.com/p/academic-p... #GenAI #Academia
yeganeha.substack.com/p/academic-p... #GenAI #Academia