Contributed Content

Spotlight


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


Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps
Zhi Liu, Nikhil Garg


The Platform Design Problem
Christos Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis

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, Sarah Keren, Matthias Gerstgrasser, Jeffrey Rosenschein



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