Schedule

Time	Section
8:15 AM	Mimee Xu (NYU) Opening Remarks
8:20 AM	Keynote: Jeff Dean (Google) Advances in Machine Learning for Systems
9:15 AM	Invited: Natasha Jaques (University of Washington) Leveraging Deep Multi-agent Reinforcement Learning (MARL) for NP-hard Combinatorial Optimization
9:55 AM	Coffee Break
10:10 AM	Hardware: Richard Ho (OpenAI) Navigating Scaling and Efficiency Challenges of ML Systems
10:40 AM	Retrospective: Tim Kraska (MIT, AWS) ML and Generative AI for Data Systems
11:10 AM	Poster Session 1
12:00 PM	Lunch Break
1:00 PM	Panel: Jeff Dean, Natasha Jaques, Tim Kraska
1:45 PM	Coffee Break
2:00 PM	CodeGen: Ahmed El-Kishky (OpenAI) OpenAI's o1 Competing on IOI
2:20 PM	CodeGen Contributed Talks Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs The Unreasonable Effectiveness of LLMs for Query Optimization
2:40 PM	CodeGen: Q & A
2:50 PM	Tea Break
3:10 PM	Contributed Talks Scalable RL for Systems via Offline Imitation from Multiple Baselines: A Case Study in Compiler Optimization WarpDrive: An Agentic Workflow for Ninja GPU Transformations
3:30 PM	Poster Session 2

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