Tianqi Chen
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who talks about the same things
- Lin Qiao6 talks
- Simon Mo7 talks
- Tiejun Chen20 talks
- Luca Antiga5 talks
- Vladimir Osin4 talks
- Sean Sheng2 talks
| title | conference | date |
|---|---|---|
| Keynote: Building ML Systems Foundations at the Age of AI | AI Infra Summit at PyTorch Conference 2025 | 2025-10-21 |
Launches a curated benchmark and workload spec called flashing for trace that records real LM inference shapes and operator patterns, plus a hosted leaderboard… | ||
| Universally Deploy Large-language Models via ML Compilation | PyTorch Conference 2024 | 2024-09-18 |
Claims a universal LLM deployment path by building an ML compiler stack on Apache TVM called MM compiler that adds Python-first pipelines, first-class symbolic… | ||
| Elements of Learning Systems | Ray Summit 2021 | 2021-06-22 |
Covers two concrete systems: XGBoost and TVM. Claims XGBoost removes manual imputation by learning a automatic missing-value default direction inside tree… | ||
| Tianqi Chen, Computer Science PhD Student, University of Washington at MLconf Seattle 2017 | MLconf Seattle 2017 | 2017-05-19 |
XGBoost adds monotonic constraints and a new histogram algorithm that gives 10x single-thread speedup and 4–7x multi-thread gains, plus a GPU module that… | ||
| Tianqi Chen, Industry Impact Student Research Award Winner | MLconf SF 2016 | 2016-11-11 |
Describes building scalable systems that bring tree boosting and deep learning to industry-scale data, combining distributed computation with out-of-core… | ||
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