Accepted Papers
Accepted Papers
Spotlight
Exploration and Incentives in Reinforcement Learning
Max Simchowitz, Aleksandrs Slivkins
Efficient Competitions and Online Learning with Strategic Forecasters
Anish Thilagar, Rafael Frongillo, Bo Waggoner, Robert Gomez
Models of fairness in federated learning
Kate Donahue, Jon Kleinberg
Strategic clustering
Ana-Andreea Stoica, Christos Papadimitriou
Estimation of Standard Asymmetric Auction Models
Yeshwanth Cherapanamjeri, Constantinos Costis Daskalakis, Andrew Ilyas, Manolis Zampetakis
Posters
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-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
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
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
Alternative Microfoundations for Strategic Classification
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
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