Ramya Vinayak
@ramyavinayak
Assistant Professor at UW-Madison. Working on Machine Learning, Statistical Inference and Crowdsourcing.
Interested in the intersection of NLP and Survey Research? Check out this COLM 2025 workshop organized by some amazing collaborators: sites.google.com/view/nlpor2025… Submit your works or work-in-progress (deadline June 23): sites.google.com/view/nlpor2025…
Training text-to-image models? Want your models to represent cultures across the globe but don't know how to systematically evaluate them? Introducing ⚕️CuRe⚕️ a new benchmark and scoring suite for cultural representativeness through the lens of information gain (1/10)
Want to align LLMs and text-to-image models to heterogeneous preferences? Check out our #ICLR2025 paper on learning personalizable rewards (PAL) in a sample efficient way. iclr.cc/virtual/2025/p… When: Friday Apr 25th from 10 am Where: Hall 3 + Hall 2B #196, Poster Session 3
There are a few updates to the review process at #ICML2025. These updates are all described on the ICML website, but we also released a blog post explaining our decisions (links & summary 🧵below):
Join us at LeT-All's NeurIPS Social on Thursday 7:30pm and chat with awesome mentors like @aminkarbasi , Cristóbal Guzmàn, @gavinrbrown1 , @vkontonis , @subGaussian (Ankit Pensia), @ramyavinayak , @MAliakbarpour , Erin Grant, @firebat03 (Josh Alman), @SurbhiGoel_ , Vatsal Sharan
📢 Join us at #NeurIPS2024 for an in-person LeT-All mentorship event! 📅 When: Thurs, Dec 12 | 7:30-9:30 PM PST 🔥 What: Fireside chat w/ Misha Belkin (UCSD) on Learning Theory Research in the Era of LLMs, + mentoring tables w/ amazing mentors. Don’t miss it if you’re at NeurIPS!
Very intriguing workshop on new directions in NLP + Survey Research @SoDaUMD happening today. I will be on a panel discussing how ML and Survey Research can benefit from each other with @DavMicRot @fraukolos Check out the schedule here for more: socialdatascience.umd.edu/survai-worksho…
🥳We have an open position in @UWMadisonECE, focusing on Trustworthy AI. Areas of interest include robustness, security, privacy, interpretability, fairness, and safety in machine learning and AI from systems and/or theoretical perspectives: Apply here! jobs.wisc.edu/jobs/asst-asso…
Excited to be @SimonsInstitute for the program on Modern Paradigms in Generalization this Fall. Looking forward to all the workshops and interacting with the amazing set of visitors. simons.berkeley.edu/programs/moder…
Six ECE faculty have received inaugural Dugald C. Jackson Assistant Professorships, named after the first-ever professor in electrical engineering at UW–Madison. Dugald C. Jackson Asst. Profs.: Jennifer Choy, Dominic Gross, Kangwook Lee, Chu Ma, Ramya Korlakai Vinayak, Ying Wang
1/9 Want to up your Semi-Supervised Learning (SSL) game? Join us at the #ICML2024 #DMLR workshop to discuss our improvements to pseudolabeling-based SSL via learnable confidence functions and pseudolabeling accumulation! 🧵 Paper: bit.ly/pablo-dmlr