Machine learning in/for blockchain: Future and challenges
Machine learning and blockchain are two of the most notable technologies of recent years.
The first is the foundation of artificial intelligence and big data analysis, and the second has …
The first is the foundation of artificial intelligence and big data analysis, and the second has …
Introduction to multi-armed bandits
A Slivkins - Foundations and Trends® in Machine Learning, 2019 - nowpublishers.com
Multi-armed bandits a simple but very powerful framework for algorithms that make
decisions over time under uncertainty. An enormous body of work has accumulated over the …
decisions over time under uncertainty. An enormous body of work has accumulated over the …
Towards conversational recommender systems
People often ask others for restaurant recommendations as a way to discover new dining
experiences. This makes restaurant recommendation an exciting scenario for recommender …
experiences. This makes restaurant recommendation an exciting scenario for recommender …
Multi-armed bandits in recommendation systems: A survey of the state-of-the-art and future directions
Abstract Recommender Systems (RSs) have assumed a crucial role in several digital
companies by directly affecting their key performance indicators. Nowadays, in this era of big …
companies by directly affecting their key performance indicators. Nowadays, in this era of big …
Explaining the success of nearest neighbor methods in prediction
Many modern methods for prediction leverage nearest neighbor search to find past training
examples most similar to a test example, an idea that dates back in text to at least the 11th …
examples most similar to a test example, an idea that dates back in text to at least the 11th …
Bayesian regression and Bitcoin
D Shah, K Zhang - 2014 52nd annual Allerton conference on …, 2014 - ieeexplore.ieee.org
In this paper, we discuss the method of Bayesian regression and its efficacy for predicting
price variation of Bitcoin, a recently popularized virtual, cryptographic currency. Bayesian …
price variation of Bitcoin, a recently popularized virtual, cryptographic currency. Bayesian …
[PDF][PDF] Pre-release prediction of crowd opinion on movies by label distribution learning.
This paper studies an interesting problem: is it possible to predict the crowd opinion about a
movie before the movie is actually released? The crowd opinion is here expressed by the …
movie before the movie is actually released? The crowd opinion is here expressed by the …
Optimal algorithms for latent bandits with cluster structure
We consider the problem of latent bandits with cluster structure where there are multiple
users, each with an associated multi-armed bandit problem. These users are grouped into …
users, each with an associated multi-armed bandit problem. These users are grouped into …
Multitask bandit learning through heterogeneous feedback aggregation
In many real-world applications, multiple agents seek to learn how to perform highly related
yet slightly different tasks in an online bandit learning protocol. We formulate this problem as …
yet slightly different tasks in an online bandit learning protocol. We formulate this problem as …
Blind regression: Nonparametric regression for latent variable models via collaborative filtering
We introduce the framework of {\em blind regression} motivated by {\em matrix completion}
for recommendation systems: given $ m $ users, $ n $ movies, and a subset of user-movie …
for recommendation systems: given $ m $ users, $ n $ movies, and a subset of user-movie …