Poster Presentation

Coopetition Against an Amazon

Ronen Gradwohl, Moshe Tennenholtz

The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity

Mark Sellke, Aleksandrs Slivkins

Timing is Money: The Impact of Arrival Order in Beta-Bernoulli Prediction Markets

Blake Martin, Mithun Chakraborty, Sindhu Kutty

Exploration and Incentives in Reinforcement Learning

Max Simchowitz, Aleksandrs Slivkins

Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality

Stefanos Leonardos, Kelly Spendlove, Georgios Piliouras

Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games

Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments

Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla

Reward-Free Attacks in Multi-Agent Reinforcement Learning

Ted Fujimoto, Timothy Doster, Adam R Attarian, Jill Brandenberger, Nathan Oken Hodas

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions

Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng

Strategic Classification Made Practical

Nir Rosenfeld, Sagi Levanon

Approximating Bayes Nash Equilibria in Auction Games via Gradient Dynamics

Maximilian Fichtl, Matthias Oberlechner, Martin Bichler

Scoring Rules for Performative Binary Prediction

Alan Chan

Strategic Classification in the Dark

Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld

The Platform Design Problem

Christos Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis

Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization

Cecilia Ying, Stephen W Thomas

Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations

Marek Galovic, Branislav Bosansky, Viliam Lisý

Models of fairness in federated learning

Kate Donahue, Jon Kleinberg

Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps

Zhi Liu, Nikhil Garg

Learning in Matrix Games can be Arbitrarily Complex

Gabriel Passamani Andrade, Rafael Frongillo, Georgios Piliouras

Pseudo-Competitive Games and Algorithmic Pricing

Chamsi Hssaine, Vijay Kamble, Sid Banerjee

Game Redesign in No-regret Game Playing

Yuzhe Ma, Young Wu, Xiaojin Zhu

Promoting Resilience of Multi-Agent Reinforcement Learning via Confusion-Based Communication

Ofir Abu, Matthias Gerstgrasser, Jeffrey Rosenschein, Sarah Keren

Pessimistic Offline Reinforcement Learning with Multiple Agents

Yihang Chen

Learning through Recourse under Censoring

Jennifer Chien, Berk Ustun, Margaret Roberts

Normative disagreement as a challenge for Cooperative AI

Julian Stastny, Maxime Nicolas Riché, Alexander Lyzhov, Johannes Treutlein, Allan Dafoe, Jesse Clifton

Learning Losses for Strategic Classification

Tosca Lechner, Ruth Urner

Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents

Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

Price Discovery and Efficiency in Waiting Lists: A Connection to Stochastic Gradient Descent

Itai Ashlagi, Jacob Leshno, pengyu qian, Amin Saberi

The Strategic Perceptron

Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita

On classification of strategic agents who can both game and improve

Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita

Regret, stability, and fairness in matching markets with bandit learners

Sarah Cen, Devavrat Shah

One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning

Richard L Phillips, Han Shao, Avrim Blum, Nika Haghtalab

Strategic clustering

Ana-Andreea Stoica, Christos Papadimitriou

Negotiating networks in oligopoly markets for price sensitive products

Naman Shukla

Interactive Robust Policy Optimization for Multi-Agent Reinforcement Learning

Videh Raj Nema, Balaraman Ravindran

Gaming Helps! Learning from Strategic Interactions in Natural Dynamics

Yahav Bechavod, Katrina Ligett, Steven Wu, Juba Ziani

When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits

Udari Madhushani, Naomi Leonard

Information Discrepancy in Strategic Learning

Yahav Bechavod, Chara Podimata, Steven Wu, Juba Ziani

Bounded Rationality for Multi-Agent Motion Planning and Behavior Learning

Junhong Xu, Kai Yin, Lantao Liu

Near-Optimal No-Regret Learning in General Games

Constantinos Costis Daskalakis, Maxwell Fishelson, Noah Golowich

Estimation of Standard Asymmetric Auction Models

Yeshwanth Cherapanamjeri, Constantinos Costis Daskalakis, Andrew Ilyas, Manolis Zampetakis

Alternative Microfoundations for Strategic Classification

Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt

Efficient Competitions and Online Learning with Strategic Forecasters

Anish Thilagar, Rafael Frongillo, Bo Waggoner, Robert Gomez