Top Tweets for #MLForSystems
Will agents replace systems developers?
Yes or No?
Upper level 5AB, debating 2:15-3:15pm. Moderated by yours truly.
🔥🔥
#MLforSystems
#neurips2025

Finally, prepare yourselves to hear from our brilliant, boundary-reshaping researcher Neeraja J. Yadwadkar.
We have been inviting her for three years!
#mlforsystems #neurips2025

For decades, OSes have relied on hand-tuned heuristics. What if they could write their own?
🔥 Meet PolicySmith, our LLM-driven framework that generates high-performing, interpretable system code.
📄https://t.co/uTmoDJmjy0 at #HotNets25
#LDOS #MLforSystems #CodeGeneration

Two papers have been accepted to the NeurIPS 2025 Workshop on ML for Systems! #MLforSystems #NeurIPS2025
(1) Learned Count-Min Sketch by Kyosuke and Atsuki
(2) Evaluation of ANN Deletion by Tomohiro and Prof. Amagata @Daichi_Amagata (UOsaka)
NeurIPS 2025 WS on ML for Systemsに論文が2本採択されました! #MLforSystems #NeurIPS2025
(1) 去年卒論の西下君、D1佐藤君による学習型カウントミンスケッチ
(2) M1の山下君、阪大 @Daichi_Amagata 先生によるANN削除方式の評価
‼️DEADLINE EXTENDED: ML for Systems @NeurIPSConf now due on 8/29.
🆕So many “agents” talk on X, we wonder how many are rigorous (and scientifically sound!).
📝We are ready to review and give valuable feedback on LLM works, even for first time participants.
#mlforsystems #cfp
Exciting news! 📣 The call for papers for ML for Systems @NeurIPSConf is now open.
Submission deadline: Aug 22 AoE
Help spread the word!
P.S. Agents and LLM systems are systems, too!
https://t.co/MqDnEkPgRr
#MLforSystems #MachineLearning #LLMs #Agents #CodeModels #neurips2025

We are extending the deadline to **Aug 29**
I repeat, we are extending the deadline for ML for Systems at NeurIPS to Aug 29 AoE!
Submit your 4-page abstract on using ML for system design, including but not limited to coding agents.
#mlforsystems #cfp #neurips2025
Good news!✨ We've extended the submission deadline for PACMI'25 to 8/6 (AoE), giving everyone more time to finalize their submissions. A big thank you to those who have already submitted. We appreciate your interest and are excited to see your research! #SOSP #MLForSystems
The 9th edition of the ML for Systems workshop is back at NeurIPS 2025!
This year, we’re especially excited to spotlight agentic workflows and generative AI systems.
Submit your work before Aug 22 AoE!👇
https://t.co/aG6A9dSJhM
#MLforSystems #NeurIPS2025 #LLMs #Agents
Exciting news! 📣 The call for papers for ML for Systems @NeurIPSConf is now open.
Submission deadline: Aug 22 AoE
Help spread the word!
P.S. Agents and LLM systems are systems, too!
https://t.co/MqDnEkPgRr
#MLforSystems #MachineLearning #LLMs #Agents #CodeModels #neurips2025

Exciting news! 📣 The call for papers for ML for Systems @NeurIPSConf is now open.
Submission deadline: Aug 22 AoE
Help spread the word!
P.S. Agents and LLM systems are systems, too!
https://t.co/MqDnEkPgRr
#MLforSystems #MachineLearning #LLMs #Agents #CodeModels #neurips2025

PSA: our whole event stream is available through NeurIPS��s official site:
Bill Dally @nvidia, Chris Lattner @clattner_llvm, Atlas Wang, + Mangpo running the first big @kaggle-sponsored competition on XLA graph to performance prediction.
https://t.co/MhZWUOm5RP #MLforSystems

If you missed the NeurIPS ML for Systems Workshop, the presentations are recorded and available here: https://t.co/K8fnVbsQkt #mlforsystems #neurips
The paper I spoke about at the NeurIPS ML for Systems #mlforsystems workshop is now on arxiv https://t.co/YhN7sjK1CU! We use multi-agent RL to solve a classic combinatorial optimization problem (the Sequential Assignment Problem) by combining a polynomial time assignment algorithm with deep RL. The classical solver can give an optimal, conflict-free assignment for a single timestep if it's given known utility values, but can't plan assignments over time. So, we learn the future estimated payoff for each single-timestep assignment using RL! Impressive results that strongly outperform the best classical techniques and MARL methods.
My first paper will be in AAAI this yr (@natashajaques) - we figured out how to get 1000s of satellites to play nicely with distributed optimization + RL, smashing baselines. People severely underestimate the maturity level of RL in 2024, and the impacts it will/is already having

#MLforSystems
Works in progress! Our spotlights:
Ask LLMs to transform the code, LLMs for optimizing queries, and using agents to do ninja programming optimization
Accepted papers: https://t.co/X4da10Mfpq

We relaxed one of the constraints for OpenAI o-1 to compete in IOI: it could submit 10,000 times.
And it won a gold.
#CodeGen #MLforSystems #openaio1
@ahelkky

We are paneling! Our own Mangpo is moderating.
Submit your questions. #MLforSystems
@natashajaques @JeffDean Lidong Zhou and @tim_kraska

ML models need compute but Moore’s Law is slowing down. Are flops enough?
Come hear Richard’s take on chip and system games and maximizing efficiency across everything: network storage memory and compute.
per watts, perf, per TCO.
#GPUs #TPUs #MLforSystems #NeurIPS2024

@martin_maas @DZhang50 In AlphaChip, pre-training on blocks would give our model intuition, which is what you want to do if you want to do reinforcement learning.
#riscv #hardware #mlforsystems
Open sourced! Retrained checkpoint released!
@Azaliamirh @annadgoldie

Data may have run out but systems can be faster. Or can they?
#mlforsystems
@JeffDean West Room 201. (You may have to stand because the room is getting full)

Fuma will present our work on the updatable learned multi-dimensional index at the ML for Systems workshop on Dec 15. Feel free to attend! #MLforSystems #NeurIPS2024 https://t.co/n3ixzEnWw7
Tomorrow at NeurIPS:
MACHINE LEARNING FOR SYSTEMS
@JeffDean opens at 8:20AM, so come early (west 201)
The most anticipated workshop, for us anyway!
@tim_kraska @natashajaques @ahelkky
#mlforsystems
@DZhang50 @haoran_qiu98 @divyamahajn
@OpenAI @MSFTResearch @GoogleDeepMind

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