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Rémy Garnier

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • math.ST1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedA multi-series framework for demand forecasts in E-commerce

3 citations · 5 across the 3 of their papers we have counts for

collaborators

4 papers

math.ST2022

Hold-out estimates of prediction models for Markov processes

Remy Garnier, Raphaël Langhendries, Joseph Rynkiewicz

We consider the selection of prediction models for Markovian time series. For this purpose, we study the theoretical properties of the hold-out method. In the econometrics literatu…

stat.ML2020

Deviation bound for non-causal machine learning

Rémy Garnier, Raphaël Langhendries

Concentration inequalities are widely used for analyzing machine learning algorithms. However, current concentration inequalities cannot be applied to some of the most popular deep…

stat.AP2020★ 2 cited

Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method

Malo Huard, Rémy Garnier, Gilles Stoltz

We revisit the interest of classical statistical techniques for sales forecasting like exponential smoothing and extensions thereof (as Holt's linear trend method). We do so by con…

stat.ML2019★ 3 cited

A multi-series framework for demand forecasts in E-commerce

Rémy Garnier, Arnaud Belletoile

Sales forecasts are crucial for the E-commerce business. State-of-the-art techniques typically apply only univariate methods to make prediction for each series independently. Howev…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.