uncertainty

Going Old-School: Designing Algorithms for Fast Weighted Sampling in Production

Shaked Zychlinski | 06 Jun 2019 | Big Data

Tags: algorithms, performance, production, real-time, sampling, uncertainty

If you happen to write code for a living, there’s a pretty good chance you’ve found yourself explaining Read More...

ICLR 19 highlights (and all that Jazz)

Inbar Naor | 16 May 2019 | Data Science

Tags: Fairness, GAN, Generative Adversarial Networks, ICLR, Reinforcement Learning, Transfer Learning, uncertainty

A joint post with Ofri Mann   We went to ICLR to present our work on debugging ML Read More...

Uncertainty for CTR Prediction: One Model to Clarify Them All

Yoel Zeldes and Inbar Naor | 21 Aug 2018 | Data Science

Tags: deep learning, recommendation systems, uncertainty

In the first post of the series we discussed three types of uncertainty that can affect your model Read More...

Recommender Systems: Exploring the Unknown Using Uncertainty

Yoel Zeldes and Inbar Naor | 14 Aug 2018 | Data Science

Tags: deep learning, neural networks, uncertainty

Now that we know what uncertainty types exist and learned some ways to model them, we can start Read More...

Neural Networks from a Bayesian Perspective

Yoel Zeldes and Inbar Naor | 06 Aug 2018 | Data Science

Tags: deep learning, neural networks, uncertainty

Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users Read More...

Using Uncertainty to Interpret your Model

Yoel Zeldes and Inbar Naor | 30 Jul 2018 | Data Science

Tags: deep learning, neural networks, uncertainty

As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new challenges, including model Read More...