List: MAB | Curated by Leihua Ye, PhD

Oct 9, 2024
40 stories
9 saves
MABMulti-Armed Bandits, Thompson Sampling, Contextual Bandit
In
Netflix TechBlog
by
Netflix Technology Blog
Recommending for Long-Term Member Satisfaction at NetflixBy Jiangwei Pan, Gary Tang, Henry Wang, and Justin Basilico
Aug 29, 2024
8
Aug 29, 2024
8
In
Lyft Engineering
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Jonas Timmermann
Lyft’s Reinforcement Learning PlatformTackling decision making problems with a platform for developing & serving Reinforcement Learning models with a focus on Contextual Bandits
Mar 12, 2024
Mar 12, 2024
Viet Vo
Application of Multi-Armed Bandits to Promotion Ranking in MoMoMulti-Armed Bandits
Aug 26, 2023
Aug 26, 2023
In
Walmart Global Tech Blog
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Abhimanyu Mitra
Lessons from Adopting Explore-Exploit Modeling in Industrial-Scale Recommender SystemsAuthored and contributed by: Abhimanyu Mitra & Afroza Ali
Aug 21, 2023
Aug 21, 2023
In
TDS Archive
by
Massimiliano Costacurta
Dynamic Pricing with Multi-Armed Bandit: Learning by DoingApplying Reinforcement Learning strategies to real-world use cases, especially in dynamic pricing, can reveal many surprises
Aug 16, 2023
7
Aug 16, 2023
7
In
tech-at-instacart
by
David Vengerov
Using Contextual Bandit models in large action spaces at InstacartDavid Vengerov, Vinesh Gudla, Tejaswi Tenneti, Haixun Wang, Kourosh Hakhamaneshi
Jun 15, 2023
Jun 15, 2023
In
Lyft Engineering
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Yanqiao Wang
A Review of Multi-Armed Bandits Applications at LyftBy Sara Smoot, Alex Contryman and Yanqiao Wang
Jan 23, 2023
1
Jan 23, 2023
1
In
Netflix TechBlog
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Netflix Technology Blog
Artwork Personalization at NetflixArtwork is the first instance of personalizing not just what we recommend but also how we recommend.
Dec 7, 2017
125
Dec 7, 2017
125
In
TDS Archive
by
Pavel Surmenok
Contextual Bandits and Reinforcement LearningIf you develop personalization of user experience for your website or an app, contextual bandits can help you. Using contextual bandits…
Aug 27, 2017
10
Aug 27, 2017
10
In
TDS Archive
by
Adrien Biarnes
A Complete Tutorial on Off-Policy Evaluation for Recommender SystemsHow to reduce the offline-online evaluation gap
Mar 11, 2023
Mar 11, 2023
In
Expedia Group Technology
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Fedor Parfenov
Multi-Variate Web Optimisation Using Linear Contextual BanditsOr how you can run full webpage optimisations with a context-aware outcome
Sep 1, 2020
1
Sep 1, 2020
1
In
Adyen Tech
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Adyen
Optimizing payment conversion rates using contextual multi-armed banditsBy Rodel van Rooijen, Data Scientist, Adyen
Nov 3, 2020
Nov 3, 2020
Arthur Juliani
Simple Reinforcement Learning with Tensorflow Part 1.5: Contextual Bandits(Note: This post is designed as an additional tutorial to act as a bridge between Parts 1 & 2.)
Sep 28, 2016
20
Sep 28, 2016
20
In
Red Ventures Data Science & Engineering
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Joe Tenini, PhD
How to Make Good DecisionsUsing bandit policies to efficiently learn as you go
Aug 14, 2019
Aug 14, 2019
Kevin Altamirano
An Introduction to Contextual Bandits
Aug 23, 2016
Aug 23, 2016
In
Red Ventures Data Science & Engineering
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Tim Schott
How To Build A Better BanditImproving Contextual Bandits with Rich Interaction Features
Aug 15, 2022
1
Aug 15, 2022
1
In
Insight
by
Brian O'Gorman
Multi-armed bandits for dynamic movie recommendationsMaking the best recommendations to anonymous audiences
Apr 11, 2018
1
Apr 11, 2018
1
In
TDS Archive
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Aerin Kim
Gamma Distribution — Intuition, Derivation, and Examplesand why does it matter?
Oct 12, 2019
17
Oct 12, 2019
17
Zaid Gharaybeh
Contextual Bandit Recommender System Using Vowpal WabbitContextual Bandits are a class of online learning algorithms that model an agent that learns to act optimally by efficiently acquiring new…
Dec 16, 2021
Dec 16, 2021
In
N3TWORK
by
Julian Runge
How We Boosted App Revenue by 10% with Real-time PersonalizationJulian Runge, Mark Williams, James Marr, Hernan Silberman, Yavuz Acikalin, Eric Seufert, Steve Detwiler
Feb 20, 2019
1
Feb 20, 2019
1