Xavier Amatriain
where else to find them
what they talk about
where they keep going back
- MLconf SF4 editions2014–2019
all 4 in the filters
on a stage with
- Anitha Kannanonce
who talks about the same things
- Tarry Singh7 talks
- Yujian Tang5 talks
- Daniele Zonca6 talks
- Serg Masís7 talks
- Josh Wills8 talks
- Joseph Laria4 talks
| title | conference | date |
|---|---|---|
| AI for COVID-19: An online virtual care approach | MLconf Online 2020 | 2020-11-05 |
Mobile-first chat app and custom EHR integrate AI tools for virtual care in California, with provider escalation built in. Uses an expert-system+deep-learning… | ||
| AI for healthcare: Scaling Access and Quality of Care for Everyone | MLconf SF 2019 | 2019-11-08 |
Curai deploys a mobile primary-care app with hundreds of thousands of users that combines NLP, vision and automatic diagnosis by mixing legacy expert systems… | ||
| Xavier Amatriain, Cofounder & CTO, Curai | MLconf SF 2017 | 2017-11-10 |
Healthcare systems still give clinicians 15 minutes per visit, and medical errors cause about 400,000 deaths annually, so the approach combines ML models… | ||
| Xavier Amatriain interview | Data By the Bay 2016 | 2016-05-16 |
Claims that data and text are raw material that can be either noise or turned into usable knowledge, and that success is not volume but the pipeline and… | ||
| From text to knowledge via ML algorithms - the Quora answer | Data By the Bay 2016 | 2016-05-16 |
Quora claims over 80 million monthly visitors and uses machine learning to turn short Q&A text into actionable signals: a personalized learning-to-rank… | ||
| Xavier Amatriain, VP of Engineering, Quora | MLconf SF 2015 | 2015-11-13 |
Presents ten concrete lessons from building Quora’s ML stack: prefer implicit signals beat explicit (more data, but combine with explicit to avoid clickbait)… | ||
| Xavier Amatriain, VP of Engineering, Quora @ MLconf SEA | MLconf Seattle 2015 | 2015-05-01 |
Quora builds concrete ML systems: an answer-ranking using learning-to-rank with LambdaMART that emphasizes text quality and user expertise (currently… | ||
| Xavier Amatriain, Director of Algorithms Engineering, Netflix | MLconf SF 2014 | 2014-11-14 |
Netflix runs ~50 million members, logs ~100 billion events per day and reports 7 billion hours in Q2, so engineering choices matter as much as algorithms. Ten… | ||
| nothing matches | ||