Last year my family wrestled with a math conundrum: our ages all turned odd in sequence but starting with my older son, even though my wife is the oldest and my birthday comes first each year. Why was Noah the first to turn an odd age? Do all families experience these odd cycles?

Next Tuesday, our MSR NE Generative Modeling and Sampling Seminar will feature @VesseronNina speaking about "Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures"! Information to join below 👇

🎉 We’re excited to announce the Keynote Speakers for #UAI2026 — three researchers shaping the future of causal learning, large-scale ML, and responsible AI. 👇

Try our latest puzzle and see if you can figure out a sequence of odd events. sciencenews.org/article/math…

[LG] Domain-Aware Scaling Laws Uncover Data Synergy K Hamidieh, L Mackey, D Alvarez-Melis [MIT & Microsoft Research] (2026) arxiv.org/abs/2607.11052

Very excited about this work, led brilliantly by @kimiahmdh Does your data mixture give you synergy vibes? Like math-and-code-kind-of-vibes? Here's one (technically, two) ways to turn those vibes into concrete estimates, which can then be used to optimize mixture design.

Test your math skills with our latest puzzle! sciencenews.org/article/math…

Can we tell whether data domains cooperate or compete during pretraining? Adding code to the mix makes models better at math, while some other combinations hurt each other. We call this data synergy. Turns out you can incorporate data synergy into scaling laws and estimate it 🧵

arxiv.org/abs/2607.11052 Could a dataset pair have synergy, such that, if used together, it could be more effective than the sum of their effects (on the benchmarks)?

Today, I will be presenting our paper (w/ @LesterMackey) on near-linear attention in theory and practice at ICML in Seoul! If you are around and interested in principled attention approximations, please stop by! 📍Hall A #2714 📅Wednesday July 8, 10:30 🔗arxiv.org/abs/2602.10056

To address pure or applied mathematics—that is not a question for Prof @EmmanuelCandes, as he integrates both via mathematical analysis, becoming one of 2026 #ShawPrize Laureates in #MathematicalSciences. Let’s hear from Prof Ngaiming Mok, Chair of Selection Committee. @Stanford

Join us in recognizing Delta's Rising Professors of 2026! 🎉 Congrats to the current and incoming assistant professors our community nominated as truly exceptional. These individuals were recognized for the quality of their research, teaching, mentorship, community involvement, and industry impact. These are the people that truly push the frontier, carefully mentor their students, and have incredibly strong research taste in their domain. We are honored to play a small role in recognizing them. deltainstitutes.org/rising-p…

Next Tuesday, our MSR NE Generative Modeling and Sampling Seminar will feature @YuanqiD and me speaking about "Rare event analysis via stochastic optimal control" (arxiv.org/abs/2604.13213)! Information to join below 👇

How do you study events that almost never happen? 🧵 Protein folding, phase transitions, chemical reactions—rare but decisive ⚡, and a nightmare for classical simulation. Our new paper tackles this with stochastic optimal control: a unifying way to learn reaction statistics, sample transition paths, and go beyond reversible dynamics.

Very excited to get this work out! To learn the non-equilibrium behavior of scientific systems, we need to solve a control/RL problem!

Well, the idea seems cool. This uses a coreset idea from approximation theory to "expresss" strong non-causal attention approximation into a causal, streaming one. arxiv.org/abs/2606.10944

Excited to share our latest work out today in @naturemethods where we systematically evaluate how increasing pre-training dataset size influences single-cell foundation models and their downstream tasks. nature.com/articles/s41592-0…