Code for our repository of our paper "Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments" presented at AISTATS 2025

Source code for the paper "Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning" published at NeuRIPS '24.

Branches algorithm, fast AO* search for optimal sparse Decision Trees.

A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms

Materials for the "Reward Optimising Recommendation using Deep Learning and Fast Maximum Inner Product Search" tutorial delivered at the 28th SIGKDD Conference on Knowledge Discovery and Data Minin…

Source code for the paper "Fast Offline Policy Optimization for Large Scale Recommendation" published at the Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).

A Reinforcement Learning course with classic examples of agents trained on gym environments.

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

Header-only C++/python library for fast approximate nearest neighbors

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

Access scipy optimizers from your favorite deep learning framework.

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.

Another Domain Adaptation library, aimed at researchers.

(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Sequential Monte Carlo in python

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

Probabilistic reasoning and statistical analysis in TensorFlow

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Emotions classification on Tweets using Deep learning. Task 3 of SemEval-2019 competition.

Variational autoencoders for collaborative filtering

Coding Exercise

ALAD (Proceedings of IEEE ICDM 2018) official code

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

TP for optimization course in CentraleSupelec

Probabilistic Graphical models Homeworks

Assignments for Advanced Machine Learning course at Centrale Supelec

Assignments for the Object Recognition class in the MVA masters

The Assignments for the Deep Learning class