Interpretable ML Lab (@interpretmllab) 's Twitter Profile
Interpretable ML Lab

@interpretmllab

ID: 1568068519861837825

calendar_today09-09-2022 02:47:43

4 Tweet

81 Followers

6 Following

Gate.io (@gate_io) 's Twitter Profile Photo
Gate.io
@gate_io

5 hours ago

🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358
Interpretable ML Lab (@interpretmllab) 's Twitter Profile Photo
Interpretable ML Lab
@interpretmllab

3 years ago

Introducing a new paradigm for interpretable ML! treeFarms lets you choose from the set of all near-optimal models instead of giving you just one. Install with: pip install treefarms Paper: arxiv.org/abs/2209.08040 Interface TimberTrek: bit.ly/timbertrek

Margo Seltzer (@margo_seltzer) 's Twitter Profile Photo
Margo Seltzer
@margo_seltzer

3 years ago

#NeurIPS2022 @UBC_systopia Interpretable ML Lab FasterRisk quickly produces a collection of high-quality, interpretable risk scoring systems, providing a valuable tool for different fields such as healthcare, finance, and criminal justice. Visit us in Hall J #615 Wed from 4-6 pm.

#NeurIPS2022 @UBC_systopia <a href="/InterpretMLLab/">Interpretable ML Lab</a> FasterRisk quickly produces a collection of high-quality, interpretable risk scoring systems, providing a valuable tool for different fields such as healthcare, finance, and criminal justice. Visit us in Hall J #615 Wed from 4-6 pm.
Duke CompSci (@dukecompsci) 's Twitter Profile Photo
Duke CompSci
@dukecompsci

2 years ago

Duke CS PhD students Haiyang Huang & Yingfan Wang won American Statistical Association (ASA)'s Chambers Statistical SW Award for their Python package PaCMAP, based on a project with Duke Prof Cynthia Rudin & Prof Yaron Shaposhnik, U Rochester Simon School. bit.ly/dukecs-2023-as…

Duke CS PhD students Haiyang Huang &amp; Yingfan Wang won American Statistical Association (ASA)'s Chambers Statistical SW Award for their Python package PaCMAP, based on a project with Duke Prof Cynthia Rudin &amp; Prof Yaron Shaposhnik, U Rochester Simon School. bit.ly/dukecs-2023-as…
Interpretable ML Lab (@interpretmllab) 's Twitter Profile Photo
Interpretable ML Lab
@interpretmllab

2 years ago

How dangerous is AI? Regulate it before it’s too late thehill.com/opinion/techno…