Search Results for author: Dmitri Goldenberg

Found 6 papers, 1 papers with code

Uplift Modeling: from Causal Inference to Personalization

no code implementations17 Aug 2023 Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg

Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels.

Causal Inference

Extending Open Bandit Pipeline to Simulate Industry Challenges

no code implementations9 Sep 2022 Bram van den Akker, Niklas Weber, Felipe Moraes, Dmitri Goldenberg

Bandit algorithms are often used in the e-commerce industry to train Machine Learning (ML) systems when pre-labeled data is unavailable.

E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling

no code implementations11 Aug 2021 Javier Albert, Dmitri Goldenberg

Promotions and discounts are essential components of modern e-commerce platforms, where they are often used to incentivize customers towards purchase completion.


With One Voice: Composing a Travel Voice Assistant from Re-purposed Models

no code implementations4 Aug 2021 Shachaf Poran, Gil Amsalem, Amit Beka, Dmitri Goldenberg

Voice assistants provide users a new way of interacting with digital products, allowing them to retrieve information and complete tasks with an increased sense of control and flexibility.

BIG-bench Machine Learning named-entity-recognition +4

Social Network Analysis: From Graph Theory to Applications with Python

1 code implementation5 Feb 2021 Dmitri Goldenberg

This talk will covers the theory of social network analysis, with a short introduction to graph theory and information spread.

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