Alexandra Johnson
where else to find them
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what they talk about
where they keep going back
- MLconf NYC2 editions2017–2019
all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Johnu George11 talks
- Scott Clark7 talks
- Andreea Munteanu9 talks
- Mikiko Bazeley6 talks
- Richard Liu2 talks
- Andrey Velichkevich12 talks
| title | conference | date |
|---|---|---|
| Unique Challenges of AI in Materials Design | MLconf Online 2020 | 2020-11-05 |
Materials design faces three concrete obstacles and specific fixes: messy handwritten lab data is tamed by a formulation-aware data platform that preserves… | ||
| Lightning Talk: Kuber-What-Es?! Misadventures in Building UIs for K8s-Based ML Platforms | KubeCon + CloudNativeCon North America 2019 | 2019-11-18 |
Team builds Kubernetes-based ML platform to run massively parallel hyperparameter optimization jobs and chooses three UI rules: focus on non-infra users, CLI… | ||
| Reducing Operational Barriers to Model Training | MLconf NYC 2019 | 2019-03-29 |
Hardware barriers fall but shipping experiments still stalls teams: initial workflow copies files via SCP and TMUX windows, then shifts to building a local… | ||
| Best Practices for Hyperparameter Optimization | MLconf Atlanta 2017 | 2017-09-15 |
A simple betting model beat the house using SigOpt after hyperparameter tuning, turning a losing approach into a money-making one and demonstrating real-world… | ||
| Alexandra Johnson, Software Engineer, SigOpt, NYC 2017 | MLconf NYC 2017 | 2017-03-24 |
Hyperparameter tuning uses SigOpt Bayesian optimization to search real model settings not defaults, yielding concrete wins like a 315% boost in accuracy on a… | ||
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