Mon 8:50 a.m. - 9:00 a.m.
|
Opening remarks
(
Remarks
)
>
SlidesLive Video
|
馃敆
|
Mon 9:00 a.m. - 9:40 a.m.
|
Keynote: Michael I. Jordan (On Dynamics-Informed Blending of Machine Learning and Game Theory)
(
Keynote
)
>
SlidesLive Video
|
馃敆
|
Mon 9:40 a.m. - 10:20 a.m.
|
Keynote: Susan Athey (Machine Learning with Strategic Agents: Lessons from Incentive Theory and Econometrics)
(
Keynote
)
>
SlidesLive Video
|
馃敆
|
Mon 10:20 a.m. - 10:50 a.m.
|
Discussion with Michael Jordan and Susan Athey, moderated by Kevin Leyton-Brown
(
Discussion Panel
)
>
SlidesLive Video
|
馃敆
|
Mon 11:10 a.m. - 11:17 a.m.
|
Spotlight 1: Exploration and Incentives in Reinforcement Learning
(
Spotlights
)
>
SlidesLive Video
|
Max Simchowitz 路 Aleksandrs Slivkins
馃敆
|
Mon 11:17 a.m. - 11:20 a.m.
|
Q&A for Spotlight 1
(
Q&A
)
>
|
馃敆
|
Mon 11:20 a.m. - 11:27 a.m.
|
Spotlight 2: Models of fairness in federated learning
(
Spotlights
)
>
SlidesLive Video
|
Kate Donahue 路 Jon Kleinberg
馃敆
|
Mon 11:27 a.m. - 11:30 a.m.
|
Q&A for Spotlight 2
(
Q&A
)
>
|
馃敆
|
Mon 11:30 a.m. - 11:37 a.m.
|
Spotlight 3: Efficient Competitions and Online Learning with Strategic Forecasters
(
Spotlights
)
>
SlidesLive Video
|
Anish Thilagar 路 Rafael Frongillo 路 Bo Waggoner 路 Robert Gomez
馃敆
|
Mon 11:37 a.m. - 11:40 a.m.
|
Q&A for Spotlight 3
(
Q&A
)
>
|
馃敆
|
Mon 11:40 a.m. - 11:47 a.m.
|
Spotlight 4: Estimation of Standard Asymmetric Auction Models
(
Spotlights
)
>
SlidesLive Video
|
Yeshwanth Cherapanamjeri 路 Constantinos Daskalakis 路 Andrew Ilyas 路 Emmanouil Zampetakis
馃敆
|
Mon 11:47 a.m. - 11:50 a.m.
|
Q&A for Spotlight 4
(
Q&A
)
>
|
馃敆
|
Mon 11:50 a.m. - 11:57 a.m.
|
Spotlight 5: Strategic clustering
(
Spotlights
)
>
SlidesLive Video
|
Ana-Andreea Stoica 路 Christos Papadimitriou
馃敆
|
Mon 11:57 a.m. - 12:00 p.m.
|
Q&A for Spotlight 5
(
Q&A
)
>
|
馃敆
|
Mon 12:00 p.m. - 1:00 p.m.
|
Poster Session
(
Poster Session
)
>
link
|
馃敆
|
Mon 1:00 p.m. - 1:40 p.m.
|
Keynote: Dorsa Sadigh (Theory and Practice of Partner-Aware Algorithms in Multi-Agent Coordination)
(
Keynote
)
>
SlidesLive Video
|
馃敆
|
Mon 1:40 p.m. - 2:20 p.m.
|
Keynote: Vince Conitzer (Automated Mechanism Design for Strategic Classification)
(
Keynote
)
>
SlidesLive Video
|
馃敆
|
Mon 2:20 p.m. - 2:50 p.m.
|
Discussion with Dorsa Sadigh and Vincent Conitzer, moderated by Peter Stone
(
Discussion Panel
)
>
SlidesLive Video
|
馃敆
|
Mon 2:50 p.m. - 3:00 p.m.
|
Concluding Remarks
(
Remarks
)
>
SlidesLive Video
|
馃敆
|
-
|
Efficient Competitions and Online Learning with Strategic Forecasters
(
Poster
)
>
link
|
Anish Thilagar 路 Rafael Frongillo 路 Bo Waggoner 路 Robert Gomez
馃敆
|
-
|
Alternative Microfoundations for Strategic Classification
(
Oral
)
>
link
|
Meena Jagadeesan 路 Celestine Mendler-D眉nner 路 Moritz Hardt
馃敆
|
-
|
Estimation of Standard Asymmetric Auction Models
(
Oral
)
>
link
|
Yeshwanth Cherapanamjeri 路 Constantinos Daskalakis 路 Andrew Ilyas 路 Emmanouil Zampetakis
馃敆
|
-
|
Near-Optimal No-Regret Learning in General Games
(
Oral
)
>
link
|
Constantinos Daskalakis 路 Maxwell Fishelson 路 Noah Golowich
馃敆
|
-
|
Bounded Rationality for Multi-Agent Motion Planning and Behavior Learning
(
Oral
)
>
link
|
Junhong Xu 路 Kai Yin 路 Lantao Liu
馃敆
|
-
|
Information Discrepancy in Strategic Learning
(
Oral
)
>
link
|
Yahav Bechavod 路 Chara Podimata 路 Steven Wu 路 Juba Ziani
馃敆
|
-
|
When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits
(
Oral
)
>
link
|
Udari Madhushani 路 Naomi Leonard
馃敆
|
-
|
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
(
Oral
)
>
link
|
Yahav Bechavod 路 Katrina Ligett 路 Steven Wu 路 Juba Ziani
馃敆
|
-
|
Interactive Robust Policy Optimization for Multi-Agent Reinforcement Learning
(
Oral
)
>
link
|
Videh Nema 路 Balaraman Ravindran
馃敆
|
-
|
Negotiating networks in oligopoly markets for price sensitive products
(
Oral
)
>
link
|
naman shukla
馃敆
|
-
|
Strategic clustering
(
Oral
)
>
link
|
Ana-Andreea Stoica 路 Christos Papadimitriou
馃敆
|
-
|
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
(
Oral
)
>
link
|
Richard Phillips 路 Han Shao 路 Avrim Blum 路 Nika Haghtalab
馃敆
|
-
|
Regret, stability, and fairness in matching markets with bandit learners
(
Oral
)
>
link
|
Sarah Cen 路 Devavrat Shah
馃敆
|
-
|
On classification of strategic agents who can both game and improve
(
Oral
)
>
link
|
Saba Ahmadi 路 Hedyeh Beyhaghi 路 Avrim Blum 路 Keziah Naggita
馃敆
|
-
|
The Strategic Perceptron
(
Oral
)
>
link
|
Saba Ahmadi 路 Hedyeh Beyhaghi 路 Avrim Blum 路 Keziah Naggita
馃敆
|
-
|
Price Discovery and Efficiency in Waiting Lists: A Connection to Stochastic Gradient Descent
(
Oral
)
>
link
|
Itai Ashlagi 路 Jacob Leshno 路 Pengyu Qian 路 Amin Saberi
馃敆
|
-
|
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
(
Oral
)
>
link
|
Andrew Estornell 路 Sanmay Das 路 Yang Liu 路 Yevgeniy Vorobeychik
馃敆
|
-
|
Learning Losses for Strategic Classification
(
Oral
)
>
link
|
Tosca Lechner 路 Ruth Urner
馃敆
|
-
|
Normative disagreement as a challenge for Cooperative AI
(
Oral
)
>
link
|
Julian Stastny 路 Maxime Rich茅 路 Aleksandr Lyzhov 路 Johannes Treutlein 路 Allan Dafoe 路 Jesse Clifton
馃敆
|
-
|
Learning through Recourse under Censoring
(
Oral
)
>
link
|
Jennifer Chien 路 Berk Ustun 路 Margaret Roberts
馃敆
|
-
|
Pessimistic Offline Reinforcement Learning with Multiple Agents
(
Oral
)
>
link
|
Yihang Chen
馃敆
|
-
|
Promoting Resilience of Multi-Agent Reinforcement Learning via Confusion-Based Communication
(
Oral
)
>
link
|
Ofir Abu 路 Sarah Keren 路 Matthias Gerstgrasser 路 Jeffrey S Rosenschein
馃敆
|
-
|
Game Redesign in No-regret Game Playing
(
Oral
)
>
link
|
Yuzhe Ma 路 Young Wu 路 Jerry Zhu
馃敆
|
-
|
Pseudo-Competitive Games and Algorithmic Pricing
(
Oral
)
>
link
|
Chamsi Hssaine 路 Vijay Kamble 路 Siddhartha Banerjee
馃敆
|
-
|
Learning in Matrix Games can be Arbitrarily Complex
(
Oral
)
>
link
|
Gabriel Andrade 路 Rafael Frongillo 路 Georgios Piliouras
馃敆
|
-
|
Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps
(
Oral
)
>
link
|
Zhi Liu 路 Nikhil Garg
馃敆
|
-
|
Models of fairness in federated learning
(
Oral
)
>
link
|
Kate Donahue 路 Jon Kleinberg
馃敆
|
-
|
Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations
(
Oral
)
>
link
|
Marek Galovic 路 Branislav Bosansky 路 Viliam Lisy
馃敆
|
-
|
Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization
(
Oral
)
>
link
|
Cecilia Ying 路 Stephen Thomas
馃敆
|
-
|
The Platform Design Problem
(
Oral
)
>
link
|
Christos Papadimitriou 路 Kiran Vodrahalli 路 Mihalis Yannakakis
馃敆
|
-
|
Strategic Classification in the Dark
(
Oral
)
>
link
|
Ganesh Ghalme 路 Vineet Nair 路 Itay Eilat 路 Inbal Talgam-Cohen 路 Nir Rosenfeld
馃敆
|
-
|
Scoring Rules for Performative Binary Prediction
(
Oral
)
>
link
|
Alan Chan
馃敆
|
-
|
Approximating Bayes Nash Equilibria in Auction Games via Gradient Dynamics
(
Oral
)
>
link
|
Maximilian Fichtl 路 Matthias Oberlechner 路 Martin Bichler
馃敆
|
-
|
Strategic Classification Made Practical
(
Oral
)
>
link
|
Nir Rosenfeld 路 Sagi Levanon
馃敆
|
-
|
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
(
Oral
)
>
link
|
Xiaotie Deng 路 Xinyan Hu 路 Tao Lin 路 Weiqiang Zheng
馃敆
|
-
|
Bayesian Persuasion for Algorithmic Recourse
(
Oral
)
>
link
|
Keegan Harris 路 Valerie Chen 路 Joon Kim 路 Ameet S Talwalkar 路 Hoda Heidari 路 Steven Wu
馃敆
|
-
|
Reward-Free Attacks in Multi-Agent Reinforcement Learning
(
Oral
)
>
link
|
Ted Fujimoto 路 Tim Doster 路 Adam Attarian 路 Jill Brandenberger 路 Nathan Hodas
馃敆
|
-
|
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
(
Oral
)
>
link
|
Amin Rakhsha 路 Xuezhou Zhang 路 Jerry Zhu 路 Adish Singla
馃敆
|
-
|
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
(
Oral
)
>
link
|
Stefanos Leonardos 路 Will Overman 路 Ioannis Panageas 路 Georgios Piliouras
馃敆
|
-
|
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
(
Oral
)
>
link
|
Stefanos Leonardos 路 Kelly Spendlove 路 Georgios Piliouras
馃敆
|
-
|
Exploration and Incentives in Reinforcement Learning
(
Oral
)
>
link
|
Max Simchowitz 路 Aleksandrs Slivkins
馃敆
|
-
|
Timing is Money: The Impact of Arrival Order in Beta-Bernoulli Prediction Markets
(
Oral
)
>
link
|
Blake Martin 路 Mithun Chakraborty 路 Sindhu Kutty
馃敆
|
-
|
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity
(
Oral
)
>
link
|
Mark Sellke 路 Aleksandrs Slivkins
馃敆
|
-
|
Coopetition Against an Amazon
(
Oral
)
>
link
|
Ronen Gradwohl 路 Moshe Tennenholtz
馃敆
|