Bryan Wilder
brwilder.bsky.social
Bryan Wilder
@brwilder.bsky.social
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
Reposted by Bryan Wilder
I’m recruiting students this upcoming cycle at UIUC! I’m excited about Qs on societal impact of AI, especially human-AI collaboration, multi-agent interactions, incentives in data sharing, and AI policy/regulation (all from both a theoretical and applied lens). Apply through CS & select my name!
November 6, 2025 at 6:52 PM
We're in the process of selecting the location for next year's ACM EAAMO conference! If you're interested in bringing the EAAMO community to your institution, please check out the open call here and get in touch. conference.eaamo.org/call_for_loc...
Call for Proposals: Host the 2026 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization!
EAAMO is seeking proposals from universities, institutes and other appropriate venues interested in hosting the 2026 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (AC...
conference.eaamo.org
October 28, 2025 at 2:58 PM
How can synthetic data from LLMs be used, e.g. for social science, in a principled way? Check out Emily's thread on our NeurIPS paper! Generating paired real-synthetic samples and using both in a method-of-moments framework enables valid inference that benefits when synthetic data is informative.
💡Can we trust synthetic data for statistical inference?

We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
October 10, 2025 at 4:39 PM
Reposted by Bryan Wilder
Are you a researcher using computational methods to understand cities?

@mfranchi.bsky.social @jennahgosciak.bsky.social and I organize an EAAMO Bridges working group on Urban Data Science and we are looking for new members!

Fill the interest form on our page: urban-data-science-eaamo.github.io
Urban Data Science & Equitable Cities | EAAMO Bridges
EAAMO Bridges Urban Data Science & Equitable Cities working group: biweekly talks, paper studies, and workshops on computational urban data analysis to explore and address inequities.
urban-data-science-eaamo.github.io
September 3, 2025 at 3:05 PM
Reposted by Bryan Wilder
New piece, out in the Sigecom Exchanges! It's my first solo-author piece, and the closest thing I've written to being my "manifesto." #econsky #ecsky
arxiv.org/abs/2507.03600
August 11, 2025 at 1:25 PM
Submit an abstract to present a poster at EAAMO, deadline July 25! EAAMO is one of my favorite conferences, and a great place for anyone working on ML/algorithms/optimization in social settings. The conference is in Pittsburgh this November.

conference.eaamo.org/cfp/call_for...
Call for Posters
We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...
conference.eaamo.org
July 16, 2025 at 2:57 PM
Reposted by Bryan Wilder
ACM EAAMO, which is coming to Pitt this Fall, has two events for students: a doctoral consortium and a poster session, both of which are due July 25th
- poster session conference.eaamo.org/cfp/call_for...
- doctoral consortium
conference.eaamo.org/cfp/call_for...
Call for Posters
We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...
conference.eaamo.org
July 15, 2025 at 2:09 PM
Excited to share that our paper "Learning treatment effects while treating those in need" received the exemplary paper award for AI at EC 2025! This paper grew out collaborations with Allegheny County's human services department and my co-author Pim Welle (at ACDHS).
arxiv.org/abs/2407.07596
Learning treatment effects while treating those in need
Many social programs attempt to allocate scarce resources to people with the greatest need. Indeed, public services increasingly use algorithmic risk assessments motivated by this goal. However, targe...
arxiv.org
July 8, 2025 at 2:59 PM
CMU is hosting a workshop on Human-AI Complementarity for Decision Making this September! Abstract submissions due July 15, travel will be covered for accepted presenters.

www.cmu.edu/ai-sdm/resea...
Human-AI Complementarity Workshop - NSF AI Institute for Societal Decision Making - Carnegie Mellon University
Landing page that provides details for the annual AI-SDM workshop on Human-AI Complementarity for Decision Making
www.cmu.edu
July 7, 2025 at 3:33 PM
Reposted by Bryan Wilder
Excited to have this work out at ICML this year! Do LLMs make correlated errors? Yes, and those by the same company, and also more accurate/later generations are more correlated -- increasing algorithmic monoculture

arxiv.org/abs/2506.07962
July 3, 2025 at 1:06 PM
Reposted by Bryan Wilder
Still thinking about this post. The broader point, which should resonate way beyond the specific issue of "peer review," is that human disagreement is not friction and waste. It's a load-bearing, functional part of social and intellectual systems.
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.

bryanwilder.github.io/files/llmrev...
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 28, 2025 at 1:41 PM
Reposted by Bryan Wilder
Thoughtful take on one aspect of the increasing problem of LLMs leading to “centralization” of thought/writing/etc.
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.

bryanwilder.github.io/files/llmrev...
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 26, 2025 at 11:46 PM
Reposted by Bryan Wilder
I didn't know about this, but this is objectively procedurally terrible. See Bryan's great analysis 👇
Yes, peer review needs help, but not like this.
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.

bryanwilder.github.io/files/llmrev...
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 26, 2025 at 10:48 PM
Reposted by Bryan Wilder
Quite the insightful post about the use of LLMs in peer-review. Since that ship has left the stable, let's understand and mitigate the possible adverse effects.
bryanwilder.github.io/files/llmrev...

E.g., "scientists should demand that any system used as part of peer review be openly accessible"
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 26, 2025 at 10:21 PM
Reposted by Bryan Wilder
This is absolutely frightening.
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.

bryanwilder.github.io/files/llmrev...
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 26, 2025 at 6:55 PM
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.

bryanwilder.github.io/files/llmrev...
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 26, 2025 at 6:20 PM
Reposted by Bryan Wilder
Paper:
Deep RL + mixed integer programming to plan for restless bandits with combinatorial (NP-hard) constraints.

with @brwilder.bsky.social, Elias Khalil, @milindtambe-ai.bsky.social

Poster #416 on Friday @ 3–5:30pm

bsky.app/profile/lily...
Can we use RL to plan with combinatorial constraints?

Our #ICLR2025 paper combines deep RL with mathematical programming to do so! We embed a trained Q-network into a mixed-integer program, into which we can specify NP-hard constraints.

w/ brwilder.bsky.social, Elias Khalil, Milind Tambe
April 24, 2025 at 6:16 AM
Reposted by Bryan Wilder
Updated abstract deadline is this Thursday, with full paper deadline the following Thursday! Please submit your papers. We will support hybrid presentations for those unable to travel. There is also a non-archival option for those who would like to submit the paper to a journal in the future!
🚨 Call for Papers – #EAAMO25 🚨

We invite researchers, practitioners & policymakers to submit work on equity, access, & fairness in algorithms, optimization & mechanism design.

📅 Abstracts due Apr-17
📅 Papers due April-24

🔗 Learn more: conference.eaamo.org/cfp/
Call for Participation
The fifth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ‘25) will occur November 5–7, 2025 in University of Pittsburgh, Pittsburgh, PA, USA.
conference.eaamo.org
April 22, 2025 at 2:56 PM
Reposted by Bryan Wilder
🚨 Call for Papers – #EAAMO25 🚨

We invite researchers, practitioners & policymakers to submit work on equity, access, & fairness in algorithms, optimization & mechanism design.

📅 Abstracts due Apr-17
📅 Papers due April-24

🔗 Learn more: conference.eaamo.org/cfp/
Call for Participation
The fifth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ‘25) will occur November 5–7, 2025 in University of Pittsburgh, Pittsburgh, PA, USA.
conference.eaamo.org
February 28, 2025 at 2:31 PM
Reposted by Bryan Wilder
Couldn't find a machine learning for health starter pack so I made one. 

DM/Reply if you want to be added!

go.bsky.app/PJKJ8vK
November 17, 2024 at 6:34 AM
Great starting point for algorithmic decision making on bsky!
Reposting this starter pack in light of the recent influx
go.bsky.app/851zVkg
November 15, 2024 at 7:20 PM