Christian Kroer

CoRR, August, 2025

Contested Route Planning.

[BibT_eX]

[DOI]

Jakub Cerný

Garud Iyengar

Francesco Emanuele Stradi

CoRR, August, 2025

No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!

[BibT_eX]

[DOI]

CoRR, June, 2025

GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms.

[BibT_eX]

[DOI]

CoRR, May, 2025

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games.

[BibT_eX]

[DOI]

CoRR, March, 2025

Computing Lindahl Equilibrium for Public Goods with and without Funding Caps.

[BibT_eX]

[DOI]

Dominik Peters

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Convergence of Tâtonnement for Linear Fisher Markets.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Commitment to Sparse Strategies in Two-Player Games.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Solving Optimization Problems with Blackwell Approachability.

[BibT_eX]

[DOI]

Math. Oper. Res., 2024

The Complexity of Pacing for Second-Price Auctions.

[BibT_eX]

[DOI]

Xi Chen

Math. Oper. Res., 2024

Online Fair Allocation with Best-of-Many-Worlds Guarantees.

[BibT_eX]

[DOI]

CoRR, 2024

Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions.

[BibT_eX]

[DOI]

CoRR, 2024

Competitive Equilibrium for Chores: from Dual Eisenberg-Gale to a Fast, Greedy, LP-based Algorithm.

[BibT_eX]

[DOI]

Bhaskar Ray Chaudhury

Ruta Mehta

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games.

[BibT_eX]

[DOI]

Zhiyuan Fan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Extensive-Form Game Solving via Blackwell Approachability on Treeplexes.

[BibT_eX]

[DOI]

Darshan Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Layered Graph Security Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Learning under Budget and ROI Constraints via Weak Adaptivity.

[BibT_eX]

[DOI]

Matteo Castiglioni

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contested Logistics: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the Decision and Game Theory for Security - 15th International Conference, 2024

Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees.

[BibT_eX]

[DOI]

Zongjun Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Efficient Learning in Polyhedral Games via Best-Response Oracles.

[BibT_eX]

[DOI]

Darshan Chakrabarti

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contextual Standard Auctions with Budgets: Revenue Equivalence and Efficiency Guarantees.

[BibT_eX]

[DOI]

Karthik Abinav Sankararaman

Manag. Sci., November, 2023

Matching algorithms for blood donation.

[BibT_eX]

[DOI]

Zack Chauvin

Neil Dexter

John P. Dickerson

Nat. Mac. Intell., October, 2023

Infinite-Dimensional Fisher Markets and Tractable Fair Division.

[BibT_eX]

[DOI]

Oper. Res., March, 2023

Extragradient SVRG for Variational Inequalities: Error Bounds and Increasing Iterate Averaging.

[BibT_eX]

[DOI]

CoRR, 2023

Fair Notification Optimization: An Auction Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Online Bidding in Repeated Non-Truthful Auctions under Budget and ROI Constraints.

[BibT_eX]

[DOI]

Matteo Castiglioni

CoRR, 2023

Online Resource Allocation under Horizon Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

Single-Leg Revenue Management with Advice.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Regret Matching+: (In)Stability and Fast Convergence in Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Block-Coordinate Methods and Restarting for Solving Extensive-Form Games.

[BibT_eX]

[DOI]

Darshan Chakrabarti

Jelena Diakonikolas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair Allocation Over Time, with Applications to Content Moderation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Statistical Inference and A/B Testing for First-Price Pacing Equilibria.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Statistical Inference for Fisher Market Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Implementing Fairness Constraints in Markets Using Taxes and Subsidies.

[BibT_eX]

[DOI]

Nicolas Usunier

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pacing Equilibrium in First Price Auction Markets.

[BibT_eX]

[DOI]

Nicolás E. Stier Moses

Christopher A. Wilkens

Manag. Sci., December, 2022

Computing Large Market Equilibria Using Abstractions.

[BibT_eX]

[DOI]

Nicolás E. Stier Moses

Oper. Res., 2022

Multiplicative Pacing Equilibria in Auction Markets.

[BibT_eX]

[DOI]

Vincent Conitzer

Nicolás E. Stier Moses

Oper. Res., 2022

Parity in Markets - Methods, Costs, and Consequences.

[BibT_eX]

[DOI]

Sai Mali Ananthanarayanan

Nicolas Usunier

CoRR, 2022

Computing the optimal distributionally-robust strategy to commit to.

[BibT_eX]

[DOI]

CoRR, 2022

Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games.

[BibT_eX]

[DOI]

CoRR, 2022

Near-Optimal No-Regret Learning for General Convex Games.

[BibT_eX]

[DOI]

CoRR, 2022

Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games.

[BibT_eX]

[DOI]

CoRR, 2022

Robust and fair work allocation.

[BibT_eX]

[DOI]

CoRR, 2022

The Parity Ray Regularizer for Pacing in Auction Markets.

[BibT_eX]

[DOI]

Riccardo Colini-Baldeschi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria.

[BibT_eX]

[DOI]

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Optimal Efficiency-Envy Trade-Off via Optimal Transport.

[BibT_eX]

[DOI]

Steven Yin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonstationary Dual Averaging and Online Fair Allocation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-Optimal No-Regret Learning Dynamics for General Convex Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uncoupled Learning Dynamics with <i>O(log T)</i> Swap Regret in Multiplayer Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Online Learning with Knapsacks: the Best of Both Worlds.

[BibT_eX]

[DOI]

Matteo Castiglioni

Proceedings of the International Conference on Machine Learning, 2022

2021

Contextual First-Price Auctions with Budgets.

[BibT_eX]

[DOI]

CoRR, 2021

Throttling Equilibria in Auction Markets.

[BibT_eX]

[DOI]

Xi Chen

Proceedings of the Web and Internet Economics - 17th International Conference, 2021

Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria.

[BibT_eX]

[DOI]

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Last-iterate Convergence in Extensive-Form Games.

[BibT_eX]

[DOI]

Chung-Wei Lee

Haipeng Luo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Market Equilibrium with Application to Fair Division.

[BibT_eX]

[DOI]

Alex Peysakhovich

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dominant Resource Fairness with Meta-Types.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

First-Order Methods for Wasserstein Distributionally Robust MDP.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Scalable First-Order Methods for Robust MDPs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Increasing Iterate Averaging for Solving Saddle-Point Problems.

[BibT_eX]

[DOI]

Donald Goldfarb

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Faster algorithms for extensive-form game solving via improved smoothing functions.

[BibT_eX]

[DOI]

Math. Program., 2020

Limited lookahead in imperfect-information games.

[BibT_eX]

[DOI]

Artif. Intell., 2020

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions.

[BibT_eX]

[DOI]

Tom Yan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

First-Order Methods for Large-Scale Market Equilibrium Computation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Regret Minimization in Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Market Equilibria with Uncertain Preferences.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scalable Fair Division for 'At Most One' Preferences.

[BibT_eX]

[DOI]

CoRR, 2019

Fair Division Without Disparate Impact.

[BibT_eX]

[DOI]

CoRR, 2019

First-Order Methods with Increasing Iterate Averaging for Solving Saddle-Point Problems.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Multi-agent Counterfactual Prediction.

[BibT_eX]

[DOI]

Adam Lerer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Regret Circuits: Composability of Regret Minimizers.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Stable-Predictive Optimistic Counterfactual Regret Minimization.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Quasi-Perfect Stackelberg Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Composability of Regret Minimizers.

[BibT_eX]

[DOI]

CoRR, 2018

A Unified Framework for Extensive-Form Game Abstraction with Bounds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Solving Large Sequential Games with the Excessive Gap Technique.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Trembling-Hand Perfection in Extensive-Form Games with Commitment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Theoretical and Practical Advances on Smoothing for Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Smoothing Method for Approximate Extensive-Form Perfect Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Regret Minimization in Behaviorally-Constrained Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Dynamic Thresholding and Pruning for Regret Minimization.

[BibT_eX]

[DOI]

Noam Brown

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Symbolic Configuration for Interactive Container Ship Stowage Planning.

[BibT_eX]

[DOI]

Comput. Intell., 2016

Imperfect-Recall Abstractions with Bounds in Games.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Arbitrage-Free Combinatorial Market Making via Integer Programming.

[BibT_eX]

[DOI]

Miroslav Dudík

Sébastien Lahaie

Sivaraman Balakrishnan

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Sequential Planning for Steering Immune System Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Faster First-Order Methods for Extensive-Form Game Solving.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Computational Bundling for Auctions.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Discretization of Continuous Action Spaces in Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Extensive-Form Game Imperfect-Recall Abstractions With Bounds.

[BibT_eX]

[DOI]

CoRR, 2014

Power napping with loud neighbors: optimal energy-constrained jamming and anti-jamming.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM Conference on Security & Privacy in Wireless and Mobile Networks, 2014

Extensive-form game abstraction with bounds.

[BibT_eX]

[DOI]

Proceedings of the ACM Conference on Economics and Computation, 2014

2013

Robust Optimization of Recommendation Sets with the Maximin Utility Criterion.

[BibT_eX]

[DOI]

Paolo Viappiani

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012

Automated Planning for Liner Shipping Fleet Repositioning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

2011

Feature Filtering for Instance-Specific Algorithm Configuration.

[BibT_eX]

[DOI]