Ian A. Kash

Orcid: 0000-0002-7826-8555

Affiliations:
  • University of Illinois at Chicago, IL, USA
  • Microsoft Research, Cambridge, UK (former)


According to our database1, Ian A. Kash authored at least 74 papers between 2003 and 2024.

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Bibliography

2024
Group Fairness in Reinforcement Learning via Multi-Objective Rewards.
Trans. Mach. Learn. Res., 2024

Decentralized Fair Division.
CoRR, 2024

Game-theoretic Counterfactual Explanation for Graph Neural Networks.
Proceedings of the ACM on Web Conference 2024, 2024

Learning Fairness from Demonstrations via Inverse Reinforcement Learning.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services.
Oper. Res., March, 2023

Generalizing Group Fairness in Machine Learning via Utilities.
J. Artif. Intell. Res., 2023

Keep-Alive Caching for the Hawkes process.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Multiplicative Weight Updates for Extensive Form Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs.
CoRR, 2022

Dynamic relocation in ridesharing via fixpoint construction.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Fair Decision-Making for Food Inspections.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
On the Cluster Admission Problem for Cloud Computing.
J. Artif. Intell. Res., 2021

General truthfulness characterizations via convex analysis.
Games Econ. Behav., 2021

Fair Decision-Making for Food Inspections.
CoRR, 2021

Fairness Through Counterfactual Utilities.
CoRR, 2021

Buying Data over Time: Approximately Optimal Strategies for Dynamic Data-Driven Decisions.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Fair and Efficient Allocations with Limited Demands.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Combining No-regret and Q-learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Simple Pricing Schemes for the Cloud.
ACM Trans. Economics and Comput., 2019

Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data.
Auton. Agents Multi Agent Syst., 2019

Partial Verification as a Substitute for Money.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems.
J. Artif. Intell. Res., 2018

The Power of Machine Learning and Market Design for Cloud Computing Admission Control.
CoRR, 2018

Optimal Pricing and Introduction Timing of New Virtual Machines.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interference management for unlicensed users in shared CBRS spectrum.
Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies, 2018

DC-DRF: Adaptive Multi-Resource Sharing at Public Cloud Scale.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Incentivising Monitoring in Open Normative Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Ranking and Tradeoffs in Sponsored Search Auctions.
ACM Trans. Economics and Comput., 2016

Truthful Mechanisms for Agents That Value Privacy.
ACM Trans. Economics and Comput., 2016

Pricing the Cloud.
IEEE Internet Comput., 2016

Decentralised Norm Monitoring in Open Multi-Agent Systems.
CoRR, 2016

Mechanism Design for Mixed Bidders.
Proceedings of the 25th International Conference on World Wide Web, 2016

Optimal Auctions with Restricted Allocations.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Economics of a supercloud.
Proceedings of the 3rd Workshop on CrossCloud Infrastructures & Platforms, 2016

Open Problem: Property Elicitation and Elicitation Complexity.
Proceedings of the 29th Conference on Learning Theory, 2016

Decentralised Norm Monitoring in Open Multi-Agent Systems: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Using Convolutional Neural Networks to Analyze Function Properties from Images.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
An Equilibrium Analysis of Scrip Systems.
ACM Trans. Economics and Comput., 2015

Personalized Payments for Storage-as-a-Service.
SIGMETRICS Perform. Evaluation Rev., 2015

Mix and match: A strategyproof mechanism for multi-hospital kidney exchange.
Games Econ. Behav., 2015

On Elicitation Complexity and Conditional Elicitation.
CoRR, 2015

Market manipulation with outside incentives.
Auton. Agents Multi Agent Syst., 2015

R2C2: A Network Stack for Rack-scale Computers.
Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

On Elicitation Complexity.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-Myopic Negotiators See What's Best.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Vector-Valued Property Elicitation.
Proceedings of The 28th Conference on Learning Theory, 2015

Elicitation for Aggregation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Enabling Spectrum Sharing in Secondary Market Auctions.
IEEE Trans. Mob. Comput., 2014

Eliciting Predictions and Recommendations for Decision Making.
ACM Trans. Economics and Comput., 2014

No Agent Left Behind: Dynamic Fair Division of Multiple Resources.
J. Artif. Intell. Res., 2014

Optimising trade-offs among stakeholders in ad auctions.
Proceedings of the ACM Conference on Economics and Computation, 2014

Building a personalized tourist attraction recommender system using crowdsourcing.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2012
Optimizing scrip systems: crashes, altruists, hoarders, sybils and collusion.
Distributed Comput., 2012

Economics of BitTorrent communities.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Agent Failures in Totally Balanced Games and Convex Games.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Fixed and market pricing for cloud services.
Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

Predicting your own effort.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Multiagent Learning in Large Anonymous Games.
J. Artif. Intell. Res., 2011

Decision Markets with Good Incentives.
Proceedings of the Internet and Network Economics - 7th International Workshop, 2011

On the zero-error capacity threshold for deletion channels.
Proceedings of the Information Theory and Applications Workshop, 2011

Information elicitation for decision making.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Robustness and Optimization of Scrip Systems.
PhD thesis, 2010

Impersonation Strategies in Auctions.
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Software economies.
Proceedings of the Workshop on Future of Software Engineering Research, 2010

Mix and match.
Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010

2009
Manipulating Scrip Systems: Sybils and Collusion.
Proceedings of the Auctions, 2009

2008
The lotus-eater attack.
Proceedings of the Twenty-Seventh Annual ACM Symposium on Principles of Distributed Computing, 2008

2007
Optimizing scrip systems: efficiency, crashes, hoarders, and altruists.
Proceedings of the Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), 2007

2006
Efficiency and nash equilibria in a scrip system for P2P networks.
Proceedings of the Proceedings 7th ACM Conference on Electronic Commerce (EC-2006), 2006

2004
An Experimental Analysis of a Compact Graph Representation.
Proceedings of the Sixth Workshop on Algorithm Engineering and Experiments and the First Workshop on Analytic Algorithmics and Combinatorics, 2004

2003
Compact representations of separable graphs.
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2003


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