Medium

Adrien Biarnes

Pinned

In

Data Science Collective

by

Adrien Biarnes

·

Apr 17, 2025

Next-gen retrieval function with learned similarities — Theory and implementation — Part 1

Going beyond the simple dot-product for state of the art candidate generation

Next-gen retrieval function with learned similarities — Theory and implementation — Part 1

Pinned

Adrien Biarnes

·

Aug 13, 2022

Building a Multi-Stage Recommendation System (Part 1.1)

Understanding candidate generation and the two-tower model

Building a Multi-Stage Recommendation System (Part 1.1)

In

TDS Archive

by

Adrien Biarnes

·

Jul 18, 2023

Mixture-of-Softmaxes for Deep Session-based Recommender Systems

Modern session-based deep recommender systems can be somehow limited by the softmax bottleneck like their language model cousins

Mixture-of-Softmaxes for Deep Session-based Recommender Systems

In

TDS Archive

by

Adrien Biarnes

·

Mar 11, 2023

A Complete Tutorial on Off-Policy Evaluation for Recommender Systems

How to reduce the offline-online evaluation gap

A Complete Tutorial on Off-Policy Evaluation for Recommender Systems

Adrien Biarnes

·

Sep 27, 2022

Building a multi-stage recommendation system (part 2.1)

Heavy ranking model strategy and design — Multi-gate Mixture-of-Experts

Building a multi-stage recommendation system (part 2.1)

Adrien Biarnes

·

Aug 25, 2022

Building a multi-stage recommendation system (part 1.2)

Implementation of the two-tower model and its application to H&M data

Building a multi-stage recommendation system (part 1.2)

In

TDS Archive

by

Adrien Biarnes

·

Feb 10, 2021

How CatBoost encodes categorical variables?

One of the key ingredients of CatBoost explained from the ground up

How CatBoost encodes categorical variables?

In

TDS Archive

by

Adrien Biarnes

·

Jan 26, 2021

From Boosting to GradientBoost

A friendly but rigorous explanation

From Boosting to GradientBoost

In

TDS Archive

by

Adrien Biarnes

·

Oct 14, 2020

Multinomial Mixture Model for Supermarket Shoppers Segmentation (A complete tutorial)

Complete analysis and implementation of a multinomial mixture model for supermarket shopper segmentation and predictive profiles prediction

Multinomial Mixture Model for Supermarket Shoppers Segmentation (A complete tutorial)

Adrien Biarnes

·

Sep 21, 2020

EM of GMM appendix (M-Step full derivations)

This article is an extension of “Gaussian Mixture Models and Expectation-Maximization (A full explanation)”. If you didn’t read it, this…

EM of GMM appendix (M-Step full derivations)

Adrien Biarnes

Adrien Biarnes

Senior ML engineer at Shopify working on foundation models — https://www.linkedin.com/in/adrien-biarnes-81975717

Following

Help

Status

About

Careers

Press

Blog

Store

Privacy

Rules

Terms

Text to speech