📢 Our last TCS+ talk of the season will be Wed, Dec 3 (10am PT, 1pm ET, 19:00 CET): Natalie Collina (@ncollina.bsky.social), from UPenn, will tell us about "Swap regret and correlated equilibria beyond normal-form games"!
RSVP to receive the link (one day before the talk): forms.gle/utLgSxLpqvpx...
Map by @jessiefin.bsky.social, in collaboration with Francisco Marmolejo-Cossío, Jacqueline Caulderon, and Lizet Jarquin. Data from INEGI.
This map (+ Day 11) is part of their ongoing collaboration continuing some of the work from the 2024 EAAMO social hackathon in San Luis Potosí, Mexico.
⚠️ WANTED: PhD student ⚠️
The topic? GPU-friendly algorithms for discrete optimization and mathematical programming, to be used inside decision-focused learning pipelines.
The mentors? My colleague Axel Parmentier and myself.
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My hypothesis is that writing is easier to critique than content, so if you don’t understand the content, you can still “offer a meaningful review” by commenting on writing. A hasty generalization but 🤷🏻♀️
20.11.2025 15:49 — 👍 0 🔁 0 💬 0 📌 0So much fun to meet new folks at BEACH yesterday and share some recent work of mine! Huge thanks to the organizers
19.11.2025 12:49 — 👍 4 🔁 0 💬 0 📌 0
#30DayMapChallenge day 10: Air
@jessiefin.bsky.social + Francisco Marmolejo-Cossío visualize the presence of ladrilleras, or brick kilns, which emit pollution across the state. Data cleaned by Jacqueline Calderón and Lizet Jarquin at UASLP.
Full interactive map: tinyurl.com/map10-air
@bostoncollege.bsky.social is launching a PhD program in Computer Science! Help spreading the word to interested undergrads would be appreciated; our department has faculty research clustered in ML and CS theory, and Boston's a nice place to be :) www.bc.edu/content/bc-w...
12.11.2025 15:59 — 👍 30 🔁 11 💬 1 📌 0
Join us for this semester's BEACH Day!
Topic: Predictions for Decision Making: Scoring Rules, Calibration, and Information Elicitation
When: Tues, Nov 18, 2025
Where: BU CDS @bucds.bsky.social
Registration: Free-but-required (forms.gle/k71pqBosDhiA...) by Nov 11.
Schedule: On the website below!
If you work on theory in responsible computing and are looking for a job, fill out this form before September 28!
Responsible computing includes private data analysis, fairness, robustness, mathematical approaches bridging computer science, law, ethics, etc.
docs.google.com/forms/d/e/1F...
Apparently the one vote to keep maybe have been an accident, too (according to Time)
02.07.2025 00:13 — 👍 1 🔁 0 💬 0 📌 0
It's time for the Theory Jobs spreadsheet for 2025! The theory CS community crowdsources who accepted which jobs every year.
Links in next post 1/2
Maybe my opinion is weird because I didn’t start drinking coffee until the job market, but decaf is my nice alternative if I’ve already had caffeine (either because of double booking or poor foresight)
28.03.2025 21:28 — 👍 0 🔁 0 💬 0 📌 0
Please join us for our inaugural BEACH Day: a workshop from the Boston Economics and Computing Hub.
On What: Behavioral Models in EconCS
When: Friday April 4, 2025
Where: BU CDS @bucds.bsky.social
Registration: Free-but-required (forms.gle/ZkB3qVMqQYjA...) by March 28.
Schedule: In-progress below!
I haven't seen anything come out yet, but does anyone know about details and dates for SAGT this year? The only info I see is last year's call and wasn't sure if the timing should be similar this year. TIA
13.03.2025 18:40 — 👍 0 🔁 0 💬 0 📌 0*Please repost* @sjgreenwood.bsky.social and I just launched a new personalized feed (*please pin*) that we hope will become a "must use" for #academicsky. The feed shows posts about papers filtered by *your* follower network. It's become my default Bluesky experience bsky.app/profile/pape...
10.03.2025 18:14 — 👍 522 🔁 296 💬 23 📌 83This looks great! Thanks to @sjgreenwood.bsky.social as well— excited to try it out
11.03.2025 00:27 — 👍 3 🔁 0 💬 1 📌 0
🚨 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/
TLDR: if you have infinite model expressiveness, loss function choice probably doesn't matter. BUT if you have a limited model class (even if the Bayes optimal model is in class), then task-specific surrogates perform better than task-agnostic + thresholding, formalized through H-calibration.
28.02.2025 13:15 — 👍 1 🔁 0 💬 0 📌 0
Excited to share some recent work with @sunk8th.bsky.social and Milind Tambe on the effects of loss function choice with limited model capacity: arxiv.org/pdf/2502.19522
(Thanks to my @hcrcs.bsky.social postdoc for introducing me to these great folks, too!)
