Enrique Areyan

Enrique Areyan Viqueira

About Me

I'm a Ph.D candidate in Computer Science at Brown University focusing on developing machine learning techniques to solve problems in mechanism design and empirical game-theoretical analysis. I also design automated bidding agents for electronic markets.

I am advised by Prof. Amy Greenwald.

You can find my complete CV here.

I used to maintain an older website with stuff previous to my Ph.D., you can chek it out here.

Publications

Conference Articles

Improved Algorithms for Learning Equilibria in Simulation-Based Games. Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS (forthcoming). 2020.

Empirical Mechanism Design: Designing Mechanisms from Data. Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald. Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI. 2019.

Learning Simulation-Based Games from Data. Enrique Areyan Viqueira, Amy Greenwald, Cyrus Cousins, Eli Upfal. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS. 2019.

Supply Chain Management World - A Benchmark Environment for Situated Negotiations. Yasser Mohammad, Enrique Areyan Viqueira, Nahum Alvarez Ayerza, Amy Greenwald, Shinji Nakadai, Satoshi Morinaga. Principles and Practice of Multi-Agent Systems - 22nd International Conference, PRIMA. 2019.

On Approximate Welfare- and Revenue-Maximizing Equilibria for Size-Interchangeable Bidders. Enrique Areyan Viqueira, Amy Greenwald, Victor Naroditskiy. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS. 2017.

Principled Autonomous Decision Making for Markets. Enrique Areyan Viqueira. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS. 2017.

Evaluating Assisted Emulation for Legacy Executables. Swetha Toshniwal, Enrique Areyan Viqueira, Geoffrey Brown, Kevin Cornelius, Gavin Whelan. Proceedings of the 9th International Conference on Digital Preservation, iPRES. 2012.

Workshops

On Revenue-Maximizing Walrasian Equilibria for Size-Interchangeable Bidders. Enrique Areyan Viqueira, Amy Greenwald, Victor Naroditskiy, Daniels Collins. Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, AMEC/TADA. 2016.

Preprints

Learning Equilibria of Simulation-Based Games. Enrique Areyan Viqueira, Cyrus Cousins, Eli Upfal, Amy Greenwald. arXiv. 2019.

On Approximate Welfare- and Revenue-Maximizing Equilibria for Size-Interchangeable Bidders. Enrique Areyan Viqueira, Amy Greenwald, Victor Naroditskiy. arXiv. 2017.

Teaching

This semester (Spring 2019), I am teaching Introduction to Computation for the Humanities and Social Sciences at Brown University.

I am also usually involved in some capacity (lecturing, TAing, Lab support, etc.) in Brown's CSCI1951-K Algorithmic Game Theory class.

In the past, I have taught different Computer Science and Mathematics courses, both in my home country, Venezuela, and in the U.S. Click here for more information about these past classes.

Projects

Empirical Mechanism Design of the AdX Game
A Python library that companion to this paper
Implementation of the AdX Game
A JAVA library to play the Advertisement Exchange Game (AdX), a project of class CSCI1951-K Algorithmic Game Theory.
Envy-free Prices
A flexible JAVA framework for Combinatorial Matching Markets.

Presentations

Empirical Mechanism Design— Designing Mechanisms from Data
An invited talk I gave at the 2019 INFORMS Annual Conference in Seattle, Washington, USA on October 20-23, 2019.

Hobbies