Alex Smola
where else to find them
no profile links on file
what they talk about
where they keep going back
- MLconf SF2 editions2015–2016
on a stage with
who talks about the same things
- Hagay Lupesko3 talks
- Simon Mo7 talks
- Tianqi Chen6 talks
- Andrei Varanovich2 talks
- Rafael Vasquez7 talks
- Bharath Reddy Baddam2 talks
| title | conference | date |
|---|---|---|
| Causality, robustness, and natural language understanding in ML | AWS Machine Learning Summit 2021 | 2021-06-02 |
Argues that recent gains come from huge web text and models trained at scale — compute up 3–4 orders of magnitude — but current systems still mostly… | ||
| Personalization and Scalable Deep Learning with | MLconf SF 2016 | 2016-11-11 |
Claims that time-varying personalization yields better results when modeled with an LSTM-based recurrent latent-variable model that predicts user return times… | ||
| Alex Smola, Professor in the Machine Learning Department, Carnegie Mellon University | MLconf SF 2015 | 2015-11-13 |
Distributed key‑value Parameter Server coordinator plus careful single‑machine caching and partitioning let large models run fast: 100 billion variables and… | ||
| nothing matches | ||