About Me
I am a Software Engineer at Google.
I am also a Ph.D. graduate of Computer Science at Brown University, advised by Prof. Amy Greenwald as part of the E-GLAMOR Lab.
My research focuses 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.
You can find my complete CV here. I used to maintain an older website with stuff previous to my Ph.D.; you can check it here.
News
September 25, 2023: Started at Google working on Cloud!
January 3, 2023: Paper Learning Properties in Simulation-Based Games accepted at AAMAS 2023!
November 28, 2022: I am ecstatic to share that I am joining Petco as a Senior Data Scientist on the Pricing and Promotions team!
October 16, 2022: I attended INFORMS22. Here are notes that Fiete and I took.
September 30, 2022: I attended RecSys22, the ACM Conference on Recommender System.
August 12, 2022: New paper: Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games.
October 4, 2021: I am happy to share that I am joining Convoy as a Research Scientist, and I will be working on automated brokerage. Exciting!
September 20, 2021: Our paper, Tâtonnement beyond Constant Elasticity of Substitution, was accepted at the 17th Conference on Web and Internet Economics WINE 2021.
August 20, 2021: My summer internship with the marketplace design team at Pinterest comes to an end. Thanks to the entire team for the opportunity!
August 11, 2021: Our team took third place at the MOPTA 2021 competition! Here is a note from Brown’s CS Department.
July 18, 2021: Our team is a finalist in the MOPTA 2021 competition, congratulations Flamerunners!. Here is the ArXiv paper of our submission, Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem.
July 17, 2021: New ArXiv paper on Tatonnement beyond Constant Elasticity of Substitution. Here is the poster that is part of the Twenty-Second ACM Conference on Economics and Computation (EC'21). EC 21 is taking place virtually between July 19-23, 2021.
May 17, 2021: I am ecstatic to start a summer internship with the marketplace design team at Pinterest!
May 6, 2021: I have a poster at the 20th Autonomous Agents and Multiagent Systems (AAMAS 2021), and I am also a volunteer at the conference.
May 2, 2021: I finished all the Computer Science’s doctoral degree requirements. My six-year-long journey at Brown University comes to an end.
March 12, 2021: I successfully defended my doctoral thesis! Here is the presentation, and here is the Thesis document. Thank you all!
January 15, 2021: we participated in the Supply Chain Management League of the Eleventh International Automated Negotiating Agents Competition. We qualified for the final round! The event took place at the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020).
December 17, 2020: I am presenting my work on Automated Negotiation for Supply Chain Management at Rollins College.
September 9, 2020: Fall classes begin. I will be co-teaching CS1410: Artificial Intelligence.
June 1, 2020: I successfully defended my doctoral thesis proposal! Here is the presentation.
January 22, 2020: Spring classes begin. I will be teaching CS3: Introduction to Computation for the Humanities and Social Sciences.
August 15, 2019: we participated in the Supply Chain Management League of the Tenth International Automated Negotiating Agents Competition. We placed second! The event took place at the 28th International Joint Conference on Artificial Intelligence (IJCAI 19). You can read more about it here.
July 22, 2019: I am attending the Uncertainty in Artificial Intelligence Conference (UAI 19) to present my work on empirical mechanism design. Here is the paper and the code repo.
June 25, 2019: I have a poster at the 20th ACM conference on Economics and Computation (ACM EC 19).
June 10, 2019: I am back at Amazon, this time for a Research Scientist summer internship with the Sponsored Products team.
May 13, 2019: I am attending the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 19) to present my work on learning equilibria of simulation-based games. Here is the poster, the paper, and the code repo.
October 9, 2018: I am visiting the National Institute of Advanced Industrial Science and Technology (AIST) as an invited researcher to work on automated negotiation problems! I am excited to live in Tokyo, Japan, for the 2018-2019 academic year!
June 5, 2018: I am back at Amazon, this time for an Applied Research Scientist summer internship with the Sponsored Brands teams.
September 20, 2017: I am attending the 2017 ACM Richard Tapia Conference.
May 31, 2017: I am thrilled to start a Research Scientist summer internship with the Adaptive Buying team at Amazon.
May 19, 2017: I have a poster at the 9th New York Computer Science and Economics Day (NYCE 17).
May 18, 2017: I finished all the Computer Science’s master’s degree requirements.
May 8, 2017: I am attending the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 17) to present my work on revenue-maximizing equilibria for ad auction bidders. Here is the poster, the paper, and the code repo. I also presented at the Doctoral Consortium my views on Principled Autonomous Decision Making for Markets. I am also a volunteer at the conference.
July 10, 2016: I am presenting my work on revenue-maximizing equilibria for ad auction bidders at the International Workshop on Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis (AMEC/TADA 2016). The workshop is collocated with the Fourteenth International Joint Conference on Autonomous Agents and Multiagent Systems (IJCAI 2016). Here is the paper.
October 31, 2015: I am presenting my work on Predicting order direction using support vector machines at the 6th Annual High-Frequency Finance and Data Analytics Conference (HF 2015). Here is the presentation.
September 9, 2015: I start my Computer Science Ph.D. program at Brown University.
May 9, 2015: My four-year-long journey at Indiana University comes to an end.
Publications
Conference Articles
Learning Properties in Simulation-Based Games. Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueria, Amy Greenwald. The 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023.
Tâtonnement beyond Constant Elasticity of Substitution. Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald. The 17th Conference on Web and Internet Economics, WINE. 2021.
Learning Competitive Equilibria in Noisy Combinatorial Markets. Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS. 2021.
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. 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
Learning Competitive Equilibria in Noisy Combinatorial Markets. Enrique Areyan Viqueira, Amy Greenwald. 2nd Games, Agents, and Incentives Workshop (GAIW@AAMAS 2020). 2020.
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
Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games. Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald. arXiv. 2022.
Tâtonnement beyond Constant Elasticity of Substitution. Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald. arXiv. 2021.
Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem. Shamay G. Samuel, Enrique Areyan Viqueira, Serdar Kadıoglu. arXiv. 2021.
Learning Competitive Equilibria in Noisy Combinatorial Markets. Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald. arXiv. 2021.
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
Fall 2020, I was a co-instructor for Artificial Intelligence at Brown University.
Spring 2020, I taught Introduction to Computation for the Humanities and Social Sciences at Brown University.
During my Ph.D., I was usually involved in some capacity (lecturing, TAing, Lab support, etc.) in Brown’s 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 Algorithmic Game Theory.
- Envy-free Prices
- A flexible JAVA framework for Combinatorial Matching Markets.
Presentations
- Learning Equilibria of Simulation-Based Games: Applications to Empirical Mechanism Design
- My doctoral thesis defense presentation delivered online on March 12, 2021.
- Automated Negotiation in Supply Chain Management
- An invited talk I gave at Rollins College in Orlando, Florida, USA on December 17, 2020.
- Improved Algorithms for Learning Equilibria in Simulation-Based Games
- Presentation at the 19th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS May 11, 2020 • Live on Underline.
- Learning Competitive Equilibria in Noisy Combinatorial Markets
- Presentation at the 2nd Games, Agents, and Incentives Workshop 2019 INFORMS Annual Conference (GAIW@AAMAS 2020) May 09, 2020 • Live on Underline.
- 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
- I am an avid consumer of Mathematical Content. I particularly enjoy Prof. Norman J Wildberger’s YouTube channel Insights into Mathematics, 3Blue1Brown, and Numberphile.
- I also like learning more about philosophy. I find Darin McNabb’s YouTube Channel, La Fonda Filosófica, especially helpful.
- I enjoy playing and watching fútbol, particularly La Liga’s games where Barcelona F.C. or Real Madrid play.