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Please only read with a sense of humor, as that's the only way someone recently on the academic job market could write about it... Here's part II of my blog post for you: kiragoldner.com/blog/job-marke…

New blog post: Saddle-point problems and Online Convex Optimization What is a saddle-point? Does a saddle-point always exist? Can we use online learning to find them? I explain some classic results plus some less classic ones. parameterfree.com/2021/12/02/sad…

WINE'21 is starting tomorrow and the registration fee is very low! Should be fun. Also, if you are interested in budget management, check out my student Rachitesh Kumar's talk on Friday: "Throttling Equilibria in Auction Markets"

Question for OR/optimization folks: Do you know of a good primer on branch and price?

This thread is full of great papers that are well worth a read.

Super honored to be one of the ONR YIP awardees. The award is going to fund my work on large-scale optimization approaches to game solving, as well as the extension of these ideas to other domains. Grateful to my students and collaborators that made this possible.

This piece strikes a nice balance between readability and making fairly sophisticated commentary. Worth a read!

Our researchers have won a U.S. National Science Foundation Amazon Science FAI grant to design AI algorithms to make fair, ethical decisions in auctions, pricing, and marketing. bit.ly/3tI3wUN Adam Elmachtoub Shipra Agrawal Christian Kroer Rachel Cummings Eric Balkanski

Come listen to me and three stars talk about CS/Econ/OR/industry job market advice!

I am thrilled to share that I’ll start as an Asst Professor at MIT EECS in Fall’23 and join FAIR @MetaAI as a researcher until then! Very excited for the future of AI & game theory and honored for the opportunity to lead a group in this area. Thanks CMU School of Computer Science for 6 lovely years!

After a 4-year hiatus, I'm bringing back Frank-Wolfe! An overlooked aspect of this algorithm is the step-size selection. In this post I discuss different step-size strategies, and how to construct a backtracking line-search strategy that works: fa.bianp.net/blog/2022/adap…

I'm starting a new series on my blog "Low-Rank Approximation Toolbox" about low-rank approximation and mathematical tools underlying its analysis! I'm starting this off with a three-post series on Nyström approximation, the core psd low-rank approximation ethanepperly.com/index.php/2022…

I'm recruiting a postdoc to work with me and Garud Iyengar on large-scale game solving, starting this summer. If this sounds interesting to you, then please send me an email. If not, please spread the word :)

Check out our ICLR'23 paper on an algorithm that merges RL and convex optimization/online learning perspectives for learning to play zero-sum games.

You can find me as christiankroer on threads threads.net/@christiankroer

As part of our fairness workshop at Columbia, we will be hosting a poster presentation. This will be a great opportunity for students to share their recent work in this area. Please see the website for details: sites.google.com/view/cu-fairne…

I'm excited to have Shuvomoy Das Gupta join us at Columbia for a year as a postdoc, before he heads to Rice University.