Kash, Ian A.

19 publications

TMLR 2024 Group Fairness in Reinforcement Learning via Multi-Objective Rewards Jack Blandin, Ian A. Kash

ALT 2024 Slowly Changing Adversarial Bandit Algorithms Are Efficient for Discounted MDPs Ian A. Kash, Lev Reyzin, Zishun Yu

JAIR 2023 Generalizing Group Fairness in Machine Learning via Utilities Jack Blandin, Ian A. Kash

UAI 2023 Keep-Alive Caching for the Hawkes Process Sushirdeep Narayana, Ian A. Kash

UAI 2022 Dynamic Relocation in Ridesharing via Fixpoint Construction Ian A. Kash, Zhongkai Wen, Lenore D. Zuck

AAAI 2021 Fair and Efficient Allocations with Limited Demands Sushirdeep Narayana, Ian A. Kash

JAIR 2021 On the Cluster Admission Problem for Cloud Computing Ludwig Dierks, Ian A. Kash, Sven Seuken

AAAI 2019 Partial Verification as a Substitute for Money Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo

JAIR 2018 Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan

IJCAI 2018 Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract) Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan

AAAI 2017 Incentivising Monitoring in Open Normative Systems Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan

COLT 2016 Open Problem: Property Elicitation and Elicitation Complexity Rafael M. Frongillo, Ian A. Kash, Stephen Becker

AAAI 2016 Using Convolutional Neural Networks to Analyze Function Properties from Images Yoad Lewenberg, Yoram Bachrach, Ian A. Kash, Peter B. Key

AAAI 2015 Elicitation for Aggregation Rafael M. Frongillo, Yiling Chen, Ian A. Kash

IJCAI 2015 Non-Myopic Negotiators See What's Best Yair Zick, Yoram Bachrach, Ian A. Kash, Peter B. Key

COLT 2015 Vector-Valued Property Elicitation Rafael M. Frongillo, Ian A. Kash

JAIR 2014 No Agent Left Behind: Dynamic Fair Division of Multiple Resources Ian A. Kash, Ariel D. Procaccia, Nisarg Shah

AAAI 2011 Market Manipulation with Outside Incentives Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash

JAIR 2011 Multiagent Learning in Large Anonymous Games Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern