New Last.fm Dataset 2020 for music auto-tagging purposes.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

This is an implementation of Lazy Track-and-Stop (LT&S), an optimal algorithm for best arm identification in linear bandits.

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Exploring Expert Cognition for Attributed Network Embedding, WSDM, 2018

Label Informed Attributed Network Embedding, WSDM 2017

Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks

This project is mainly used to reproduce the result in the paper of "Multi-objective Bandits: Optimizing the Generalized Gini Index"

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

Implementation of the node2vec algorithm.

EdNet is the dataset of all student-system interactions collected over 2 years by Santa, a multi-platform AI tutoring service with more than 780K users in Korea available through Android, iOS and web.

Avoiding car collisions using MDP

Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"

Logistic Bandit experiments. Official code for the paper "Jointly Efficient and Optimal Algorithms for Logistic Bandits".

Repository for research project that studies influence maximization problem.

Source code for blog post at https://hautahi.com/im_greedycelf

An influence maximization model based on various centrality measurement methods and IC model

Implementation of Greedy, CELF++, SPIN, IV-Greedy, Degree Discount algorithms for influence maximization in social network and information diffusion models such as LT, IC and TR (Triggering Model)

Simple and Fast State-of-Art Implementation of Influence Maximization Problem

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

LinRel, SupLinRel, LinUCB, SupLinUCB, UCB-GLM, SupCB-GLM, LinTS, E-greedy, Giro, LinPhe, Phased Elimination, LSE, SpectralEliminator

Code for the experiments of Matrix Factorization Bandit

Accompanying code for the NeurIPS 2020 paper "Differentially-Private Federated Linear Bandits"

Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.