Research

My research interests are in algorithmic game theory and mechanism design, bounded rationality, and computational complexity.

Publications

• Willy Wonka Mechanisms
  • Thomas Archbold, Bart de Keijzer, Carmine Ventre
  • AAMAS 2024, arxiv
• Non-Obvious Manipulability in Extensive-Form Mechanisms: the Revelation Principle for Single-Parameter Agents
  • Thomas Archbold, Bart de Keijzer, Carmine Ventre
  • IJCAI 2023
• Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade
  • Thomas Archbold, Bart de Keijzer, Carmine Ventre
  • AAMAS 2023, arxiv

Working Papers

Some!

Teaching

At King’s I taught the following modules:

• 6CCS3AIN Artificial Intelligence Reasoning and Decision Making (2022/23-24)
  • sequential decision making, Markov Decision Processes, etc.
• 6CCS3OME Optimization Methods (2020/21-24)
  • single-source shortest path, all-pairs shortest path, network flow, linear programming, optimisation techniques for NP-hard problems
• 4CCS1DST Data Structures (2021/22-23)
  • data structures and algorithms, searching, sorting
• 4CCS1FC1 Foundations of Computing I (2022/23)
  • introductory course on mathematics for computer science
• 4CCE1MAP Mathematics and programming for engineers (2023/24)
• 5CCM251A Discrete mathematics (2023/24)
• 6CCE3EAL Engineering algorithms (2023/24)
• 6CCM359A Numerical and computational methods (2023/24)

DAI Seminar

I help to organise the fortnightly seminar for the DAI research group. We don’t have much of an online presence as it stands so I will make a note of past talks here. If you’d like to present a talk on your work at the seminar please get in touch!

• 16/05/2023: Vangelis Markakis (AUEB), Winner Determination and Strategic Control in Conditional Approval Voting
• 02/05/2023: David C. Parkes (Harvard), Credible Decentralized Exchange Design via Verifiable Sequencing Rules
• 04/04/2023: David Mguni (Huawei), Towards the Goal of Optimally Performing Intelligent Multi-Agent Systems
• 21/03/2023: Buhong Liu (King’s and University of Glasgow), Agent-Based Modelling in Finance
• 07/03/2023: Micah Carroll (UC Berkeley), User Manipulation Incentives in Recommender Systems
• 21/02/2023: Kristin Blesch (University of Bremen), Conditional Feature Importance for Mixed Data
• 07/02/2023: Elfia Bezou-Vrakatseli (King’s), Debating Ethics: Using Natural Language Datasets to Support Human and AI Debate
• 24/01/2023: Xingzhou Lou (King’s), PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
• 12/01/2023: Krzysztof R. Apt (CWI), Characterization of Incentive Compatible Single-parameter Mechanisms Revisited
• 08/12/2022: Sahar Jahani (LSE), Automated Equilibrium Analysis of \(\mathit{2 \times 2 \times 2}\) Games
• 24/11/2022: Max Bartolo (UCL), Dynamic Adversarial Data Collection for Question Answering
• 10/11/2022: Mark Staarink (Urbit), Urbit: the personal server
• 20/10/2022: Joel Z. Leibo (DeepMind), Reverse-Engineering Human Evolution with Multi-Agent Reinforcement Learning
• 06/10/2022: Riccardo Colini-Baldeschi (Meta), Fair Equilibria in Sponsored Search Auctions: the Advertisers’ Perspective
• 05/05/2022: Dario Paccagnan (Imperial), Two birds with one stone: optimal approximation for integral routing and congestion pricing
• 27/01/2022: Fanghua Ye (UCL), Slot Self-Attentive and Label Noise-Robust Dialogue State Tracking