olivierjeunen/disentangling-neurips-2022 olivierjeunen/disentangling-neurips-2022

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 2 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
olivierjeunen/disentangling-neurips-2022
github

olivierjeunen

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Source code for our paper "Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders" published at NeurIPS 2022.

More Repositories

1

dual-bandit-kdd-2020

Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
Python
22
star
2

EARS-recsys-2021

Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.
Python
16
star
3

dynamicindex

C++ source code for the Dynamic Index algorithm proposed in "Efficient Similarity Computation for Collaborative Filtering in Dynamic Environments", as appeared in the proceedings of the 2019 ACM International Conference on Recommender Systems.
C++
15
star
4

ease-side-info-recsys-2020

Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.
Python
14
star
5

decision-theory-www-2021

Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).
Jupyter Notebook
11
star
6

pessimism-recsys-2021

Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
Python
10
star
7

sequential-skip-prediction

Source code for our approach to the 2019 WSDM Cup Spotify Sequential Skip Prediction Challenge
Python
8
star
8

nDCG-disagreement

Source code for experiments highlighting that normalised DCG and DCG can lead to conflicting conclusions in offline experiments.
Jupyter Notebook
3
star
9

olivierjeunen.github.io

Source code for personal website.
2
star
10

dynamic-easer

Python
2
star
11

C-3PO-recsys-2023

Jupyter Notebook
2
star
12

pooled-data-experiments

Jupyter Notebook
1
star
13

learnt-metrics-kdd-2024

Source code accompanying our paper "Learnt Metrics that Maximise Power for Accelerated A/B-tests" published at KDD 2024.
Jupyter Notebook
1
star