Thrilled that a paper from my PhD, "Faster Maximum Inner Product Search in High Dimensions" has been accepted to ICML 2024!
In the paper, we accelerate state-of-the-art for the Maximum Inner Product Search (MIPS) problem. MIPS is a core subroutine in systems like recommendation engines, multi-class prediction, matching pursuit, retrieval, and more. We improve the state-of-the-art by using techniques from multi-armed bandits.
Paper: https://t.co/Agp9HgBoxP
Let me know if you'll be in Vienna for ICML!
Congratulations to my coauthors Ryan Kang, Donghyun (Luke) Lee, Jeyong Lee, @chrispiech, @SebastianThrun, @ilanshom, and @martinjzhang!
Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available in Python, R, and C++! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! 1/n
Join us for the 6th Health Data Analytics Summit!
"Generative AI: A Promising Catalyst for Healthcare?"
Wednesday, April 5, 8:45am to 3pm (CT)
More information and registration here: https://t.co/qNtQYSVI8c
Want something better than k-means? Great work from @mo_tiwari & co on BanditPAM, a SOTA k-medoids algorithm. `pip3 install banditpam` and you're good to go! Check out the blog post: https://t.co/4DMw6BoVTd
Illinois ECE Asst. Prof. Ilan Shomorony (@ilanshom) earns prestigious @NSF CAREER Award to better understand genomic data problems
Learn more ๐ https://t.co/4m9QDL4sPM
A recent paper with @ilanshom on doing a rate-distortion analysis of min-hashing. We were a bit surprised it had not been done till now.
https://t.co/QFpRaz8Wfc
A recent paper with @ilanshom on doing a rate-distortion analysis of min-hashing. We were a bit surprised it had not been done till now.
https://t.co/QFpRaz8Wfc
Our recent work, Bandit-PAM, was accepted to NeurIPS! It utilizes adaptive sampling to make PAM, one of the most popular k-medoids clustering algorithm, orders of magnitude faster. Great collaboration with @mo_tiwari James Mayclin @SebastianThrun@chrispiech@ilanshom
Delighted to say that my work with @TBaharav and @ilanshom on sequence alignment through a spectral algorithm has been accepted into @recomb2020
https://t.co/vJseXnfAgo
Our recent work on identification of novel biomarker signatures of health and disease states is now published. Great work by the team!
https://t.co/ECzc8uOWOF
cc @JCVenter
Excited about this work with @TBaharav, @KamathGovinda and @dntse. We show that a rank-1 approximation of the min-hash collision matrix provides good estimates for pairwise sequence alignments. We call this Spectral Jaccard Similarity! https://t.co/TGItjDBXb8