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Adrien Biarnes

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Building a Multi-Stage Recommendation System (Part 1.1)

Understanding candidate generation and the two-tower model

Aug 13, 2022

Building a Multi-Stage Recommendation System (Part 1.1)

Aug 13, 2022

Published in
Towards Data Science

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

Jul 18, 2023

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

Jul 18, 2023

Published in
Towards Data Science

A Complete Tutorial on Off-Policy Evaluation for Recommender Systems

How to reduce the offline-online evaluation gap

Mar 11, 2023

A Complete Tutorial on Off-Policy Evaluation for Recommender Systems

Mar 11, 2023

Building a multi-stage recommendation system (part 2.1)

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

Sep 27, 2022

Building a multi-stage recommendation system (part 2.1)

Sep 27, 2022

Building a multi-stage recommendation system (part 1.2)

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

Aug 25, 2022

Building a multi-stage recommendation system (part 1.2)

Aug 25, 2022

Published in
Towards Data Science

How CatBoost encodes categorical variables?

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

Feb 10, 2021

How CatBoost encodes categorical variables?

Feb 10, 2021

Published in
Towards Data Science

From Boosting to GradientBoost

A friendly but rigorous explanation

Jan 26, 2021

From Boosting to GradientBoost

Jan 26, 2021

Published in
Towards Data Science

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

Oct 14, 2020

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

Oct 14, 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…

Sep 21, 2020

EM of GMM appendix (M-Step full derivations)

Sep 21, 2020

Published in
Towards Data Science

Gaussian Mixture Models and Expectation-Maximization (A full explanation)

The full explanation of the Gaussian Mixture Model (a latent variable model) and the way we train them using Expectation-Maximization

Sep 11, 2020

Gaussian Mixture Models and Expectation-Maximization (A full explanation)

Sep 11, 2020

Adrien Biarnes

Adrien Biarnes

I am a senior ML engineer working on recommender systems — https://www.linkedin.com/in/adrien-biarnes-81975717

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