Understanding Fixed Predictions via Confined Regions
Machine learning models can assign fixed predictions that preclude individuals from changing their outcome. Existing approaches to audit fixed predictions do so on a pointwise basis, which requires ac...
Excited to be chatting about our new paper "Understanding Fixed Predictions via Confined Regions" (joint work with @berkustun.bsky.social, Lily Weng, and Madeleine Udell) at #ICML2025!
π Wed 16 Jul 4:30 p.m. PDT β 7 p.m. PDT
πEast Exhibition Hall A-B #E-1104
π arxiv.org/abs/2502.16380
14.07.2025 16:08 β π 5 π 3 π¬ 1 π 0
Our β¨spotlight paperβ¨ "Primal-Dual Neural Algorithmic Reasoning" is coming to #ICML2025!
We bring Neural Algorithmic Reasoning (NAR) to the NP-hard frontier π₯
π Poster session: Tuesday 11:00β13:30
π East Exhibition Hall A-B, # E-3003
π openreview.net/pdf?id=iBpkz...
π§΅
13.07.2025 21:34 β π 6 π 2 π¬ 1 π 0
Join us for a Wikipedia edit-a-thon at #ACMEC25!
When: July 8th, 8PM-10PM
Where: Stanford Econ Landau 139
Website: sites.google.com/view/econcs-...
Come hangout, grab snacks, and edit/create Wikipedia pages for EC topics.
Suggest topics/articles that need attention: docs.google.com/spreadsheets...
02.07.2025 20:17 β π 12 π 3 π¬ 1 π 0
Congrats Kira!!
05.04.2025 05:08 β π 0 π 0 π¬ 0 π 0
Pulled a shoulder muscle trying to stay cool on the golf course in front of my PhD students and postdoc π
πββοΈ
12.12.2024 17:19 β π 18 π 0 π¬ 0 π 0
π’ Join us at #NeurIPS2024 for an in-person Learning Theory Alliance mentorship event!
π
When: Thurs, Dec 12 | 7:30-9:30 PM PST
π₯ What: Fireside chat w/ Misha Belkin (UCSD) on Learning Theory Research in the Era of LLMs, + mentoring tables w/ amazing mentors.
Donβt miss it if youβre at NeurIPS!
10.12.2024 14:52 β π 9 π 2 π¬ 0 π 0
Hi Emily, could you please add me? Thanks for making it!
19.11.2024 15:05 β π 4 π 0 π¬ 1 π 0
Can you add me? π
18.11.2024 04:26 β π 0 π 0 π¬ 1 π 0
Postdoc @Microsoft Research NE
https://yifanwu.me
MIT postdoc, incoming UIUC CS prof
katedonahue.me
Senior Researcher Machine Learning at BIFOLD | TU Berlin π©πͺ
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
professor of operations research at RWTH Aachen university, I like mathematical optimization in theory and practice; #orms
Head of AI @ NormalComputing. Tweets on Math, AI, Chess, Probability, ML, Algorithms and Randomness. Author of tensorcookbook.com
Professor, UC Davis #Mathematics. He/him. #DavisCA.
Made #SageMath pip-installable @passagemath.org.
https://github.com/mkoeppe #Python #OpenSource
#cutgeneratingfunctionology #optimization #orms
I block accounts to increase reading focus.
CS PhD student @Stanford | BA+MEng @Cambridge
dransyhe.github.io
Assistant Prof. USC Marshall in Data Science and Operations,
Postdoc UCBerkeley, PhD Stanford
Interdisciplinary research institute: applied mathematics & data-intensive high-performance computing
https://www.zib.de
Northwestern University assistant professor. Interested in evolution, robots, AI and ALife.
https://www.xenobot.group
Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Developing AI for planetary health. Postdoc at Oxford with the Leverhulme Centre for Nature Recovery & assistant prof at Columbia IEOR (starting fall 2025).
https://lily-x.github.io
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
angelamzhou.github.io
Prof @Wharton @Penn; machine learning for health & social good; foodie, gamer, homebody
Professor, Optimizer, Human-Pyramid Maker
AI & Transportation | MIT Associate Professor
Interests: AI for good, sociotechnical systems, machine learning, optimization, reinforcement learning, public policy, gov tech, open science.
Science is messy and beautiful.
http://www.wucathy.com
Gurobi developer, former CPLEX and SCIP developer, mixed integer programming