Christian Kroer

Orcid: 0000-0002-9009-8683

According to our database1, Christian Kroer authored at least 99 papers between 2011 and 2024.

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Bibliography

2024
Solving Optimization Problems with Blackwell Approachability.
Math. Oper. Res., 2024

Online Fair Allocation with Best-of-Many-Worlds Guarantees.
CoRR, 2024

Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions.
CoRR, 2024

On the Convergence of Tâtonnement for Linear Fisher Markets.
CoRR, 2024

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms.
CoRR, 2024

Extensive-Form Game Solving via Blackwell Approachability on Treeplexes.
CoRR, 2024

Competitive Equilibrium for Chores: from Dual Eisenberg-Gale to a Fast, Greedy, LP-based Algorithm.
CoRR, 2024

Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis.
CoRR, 2024

Layered Graph Security Games.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Learning under Budget and ROI Constraints via Weak Adaptivity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contested Logistics: A Game-Theoretic Approach.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Efficient Learning in Polyhedral Games via Best-Response Oracles.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Contextual Standard Auctions with Budgets: Revenue Equivalence and Efficiency Guarantees.
Manag. Sci., November, 2023

Matching algorithms for blood donation.
Nat. Mac. Intell., October, 2023

Infinite-Dimensional Fisher Markets and Tractable Fair Division.
Oper. Res., March, 2023

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games.
CoRR, 2023

Extragradient SVRG for Variational Inequalities: Error Bounds and Increasing Iterate Averaging.
CoRR, 2023

Fair Notification Optimization: An Auction Approach.
CoRR, 2023

Online Bidding in Repeated Non-Truthful Auctions under Budget and ROI Constraints.
CoRR, 2023

Online Resource Allocation under Horizon Uncertainty.
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.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Regret Matching+: (In)Stability and Fast Convergence in Games.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Statistical Inference for Fisher Market Equilibrium.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Implementing Fairness Constraints in Markets Using Taxes and Subsidies.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Pacing Equilibrium in First Price Auction Markets.
Manag. Sci., December, 2022

Computing Large Market Equilibria Using Abstractions.
Oper. Res., 2022

Multiplicative Pacing Equilibria in Auction Markets.
Oper. Res., 2022

Parity in Markets - Methods, Costs, and Consequences.
CoRR, 2022

Computing the optimal distributionally-robust strategy to commit to.
CoRR, 2022

Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games.
CoRR, 2022

Near-Optimal No-Regret Learning for General Convex Games.
CoRR, 2022

Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games.
CoRR, 2022

Robust and fair work allocation.
CoRR, 2022

The Parity Ray Regularizer for Pacing in Auction Markets.
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.
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.
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.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

Online Learning with Knapsacks: the Best of Both Worlds.
Proceedings of the International Conference on Machine Learning, 2022

2021
Contextual First-Price Auctions with Budgets.
CoRR, 2021

Throttling Equilibria in Auction Markets.
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.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

The Complexity of Pacing for Second-Price Auctions.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Last-iterate Convergence in Extensive-Form Games.
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.
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.
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

First-Order Methods for Wasserstein Distributionally Robust MDP.
Proceedings of the 38th International Conference on Machine Learning, 2021

Scalable First-Order Methods for Robust MDPs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Increasing Iterate Averaging for Solving Saddle-Point Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Faster algorithms for extensive-form game solving via improved smoothing functions.
Math. Program., 2020

Limited lookahead in imperfect-information games.
Artif. Intell., 2020

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions.
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.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Market Equilibria with Uncertain Preferences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Scalable Fair Division for 'At Most One' Preferences.
CoRR, 2019

Fair Division Without Disparate Impact.
CoRR, 2019

First-Order Methods with Increasing Iterate Averaging for Solving Saddle-Point Problems.
CoRR, 2019

Robust Multi-agent Counterfactual Prediction.
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.
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.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stable-Predictive Optimistic Counterfactual Regret Minimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Quasi-Perfect Stackelberg Equilibrium.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Composability of Regret Minimizers.
CoRR, 2018

A Unified Framework for Extensive-Form Game Abstraction with Bounds.
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.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Theoretical and Practical Advances on Smoothing for Extensive-Form Games.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Smoothing Method for Approximate Extensive-Form Perfect Equilibrium.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Regret Minimization in Behaviorally-Constrained Zero-Sum Games.
Proceedings of the 34th International Conference on Machine Learning, 2017

Dynamic Thresholding and Pruning for Regret Minimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Symbolic Configuration for Interactive Container Ship Stowage Planning.
Comput. Intell., 2016

Imperfect-Recall Abstractions with Bounds in Games.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Arbitrage-Free Combinatorial Market Making via Integer Programming.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Sequential Planning for Steering Immune System Adaptation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Faster First-Order Methods for Extensive-Form Game Solving.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Computational Bundling for Auctions.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Discretization of Continuous Action Spaces in Extensive-Form Games.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Extensive-Form Game Imperfect-Recall Abstractions With Bounds.
CoRR, 2014

Power napping with loud neighbors: optimal energy-constrained jamming and anti-jamming.
Proceedings of the 7th ACM Conference on Security & Privacy in Wireless and Mobile Networks, 2014

Extensive-form game abstraction with bounds.
Proceedings of the ACM Conference on Economics and Computation, 2014

2013
Robust Optimization of Recommendation Sets with the Maximin Utility Criterion.
Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012
Automated Planning for Liner Shipping Fleet Repositioning.
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

2011
Feature Filtering for Instance-Specific Algorithm Configuration.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011


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