Compact representations of separable graphs. - Daniel K. Blandford; Guy E. Blelloch; Ian A. Kash (SODA, 2003)

An Experimental Analysis of a Compact Graph Representation. - Daniel K. Blandford; Guy E. Blelloch; Ian A. Kash (ALENEX/ANALC, 2004)

Efficiency and nash equilibria in a scrip system for P2P networks. - Eric J. Friedman; Joseph Y. Halpern; Ian A. Kash (EC, 2006)

Optimizing scrip systems: efficiency, crashes, hoarders, and altruists. - Ian A. Kash; Eric J. Friedman; Joseph Y. Halpern (EC, 2007)

The lotus-eater attack. - Ian A. Kash; Eric J. Friedman; Joseph Y. Halpern (PODC, 2008)

Manipulating Scrip Systems: Sybils and Collusion. - Ian A. Kash; Eric J. Friedman; Joseph Y. Halpern (AMMA, 2009)

Mix and match. - Itai Ashlagi; Felix A. Fischer; Ian A. Kash; Ariel D. Procaccia (EC, 2010)

Software economies. - David F. Bacon; Eric Bokelberg; Yiling Chen 001; Ian A. Kash; David C. Parkes; Malvika Rao; Manu Sridharan (FoSER, 2010)

Impersonation Strategies in Auctions. - Ian A. Kash; David C. Parkes (WINE, 2010)

Robustness and Optimization of Scrip Systems. - Ian A. Kash (2010)

Information elicitation for decision making. - Yiling Chen 001; Ian A. Kash (AAMAS, 2011)

On the zero-error capacity threshold for deletion channels. - Ian A. Kash; Michael Mitzenmacher; Justin Thaler; Jonathan R. Ullman (ITA, 2011)

Decision Markets with Good Incentives. - Yiling Chen 001; Ian A. Kash; Mike Ruberry; Victor Shnayder (WINE, 2011)

Multiagent Learning in Large Anonymous Games. - Ian A. Kash; Eric J. Friedman; Joseph Y. Halpern (J. Artif. Intell. Res., 2011)

Predicting your own effort. - David F. Bacon; David C. Parkes; Yiling Chen 001; Malvika Rao; Ian A. Kash; Manu Sridharan (AAMAS, 2012)

Fixed and market pricing for cloud services. - Vineet Abhishek; Ian A. Kash; Peter B. Key (INFOCOM Workshops, 2012)

Agent Failures in Totally Balanced Games and Convex Games. - Yoram Bachrach; Ian A. Kash; Nisarg Shah 001 (WINE, 2012)

Economics of BitTorrent communities. - Ian A. Kash; John K. Lai; Haoqi Zhang; Aviv Zohar (WWW, 2012)

Optimizing scrip systems: crashes, altruists, hoarders, sybils and collusion. - Ian A. Kash; Eric J. Friedman; Joseph Y. Halpern (Distributed Comput., 2012)

Building a personalized tourist attraction recommender system using crowdsourcing. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; Filip Radlinski; Ely Porat; Michael Armstrong; Vijay Sharma (AAMAS, 2014)

Optimising trade-offs among stakeholders in ad auctions. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; David Kurokawa (EC, 2014)

No Agent Left Behind: Dynamic Fair Division of Multiple Resources. - Ian A. Kash; Ariel D. Procaccia; Nisarg Shah 001 (J. Artif. Intell. Res., 2014)

Eliciting Predictions and Recommendations for Decision Making. - Yiling Chen 001; Ian A. Kash; Michael Ruberry; Victor Shnayder (ACM Trans. Economics and Comput., 2014)

Enabling Spectrum Sharing in Secondary Market Auctions. - Ian A. Kash; Rohan Murty; David C. Parkes (IEEE Trans. Mob. Comput., 2014)

Elicitation for Aggregation. - Rafael M. Frongillo; Yiling Chen 001; Ian A. Kash (AAAI, 2015)

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

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

On Elicitation Complexity. - Rafael M. Frongillo; Ian A. Kash (NIPS, 2015)

R2C2: A Network Stack for Rack-scale Computers. - Paolo Costa; Hitesh Ballani; Kaveh Razavi; Ian A. Kash (SIGCOMM, 2015)

Market manipulation with outside incentives. - Yiling Chen 001; Xi Alice Gao; Rick Goldstein; Ian A. Kash (Auton. Agents Multi Agent Syst., 2015)

On Elicitation Complexity and Conditional Elicitation. - Rafael M. Frongillo; Ian A. Kash (CoRR, 2015)

Mix and match: A strategyproof mechanism for multi-hospital kidney exchange. - Itai Ashlagi; Felix A. Fischer; Ian A. Kash; Ariel D. Procaccia (Games Econ. Behav., 2015)

Personalized Payments for Storage-as-a-Service. - Sofia Ceppi; Ian A. Kash (SIGMETRICS Perform. Evaluation Rev., 2015)

An Equilibrium Analysis of Scrip Systems. - Ian A. Kash; Eric J. Friedman; Joseph Y. Halpern (ACM Trans. Economics and Comput., 2015)

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

Decentralised Norm Monitoring in Open Multi-Agent Systems: (Extended Abstract). - Natasha Alechina; Joseph Y. Halpern; Ian A. Kash; Brian Logan 001 (AAMAS, 2016)

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

Economics of a supercloud. - Ian A. Kash; Qin Jia; Zhiming Shen; Weijia Song; Robbert van Renesse; Hakim Weatherspoon (CrossCloud@EuroSys, 2016)

Optimal Auctions with Restricted Allocations. - Ian A. Kash; Rafael M. Frongillo (EC, 2016)

Mechanism Design for Mixed Bidders. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; Mohammad Reza Khani (WWW, 2016)

Decentralised Norm Monitoring in Open Multi-Agent Systems. - Natasha Alechina; Joseph Y. Halpern; Ian A. Kash; Brian Logan 001 (CoRR, 2016)

Pricing the Cloud. - Ian A. Kash; Peter B. Key (IEEE Internet Comput., 2016)

Truthful Mechanisms for Agents That Value Privacy. - Yiling Chen 001; Stephen Chong; Ian A. Kash; Tal Moran; Salil P. Vadhan (ACM Trans. Economics and Comput., 2016)

Ranking and Tradeoffs in Sponsored Search Auctions. - Ben Roberts; Dinan Gunawardena; Ian A. Kash; Peter B. Key (ACM Trans. Economics and Comput., 2016)

Incentivising Monitoring in Open Normative Systems. - Natasha Alechina; Joseph Y. Halpern; Ian A. Kash; Brian Logan 001 (AAAI, 2017)

DC-DRF: Adaptive Multi-Resource Sharing at Public Cloud Scale. - Ian A. Kash; Greg O'Shea; Stavros Volos (SoCC, 2018)

Interference management for unlicensed users in shared CBRS spectrum. - Ghufran Baig; Ian A. Kash; Bozidar Radunovic; Thomas Karagiannis; Lili Qiu (CoNEXT, 2018)

Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract). - Natasha Alechina; Joseph Y. Halpern; Ian A. Kash; Brian Logan 001 (IJCAI, 2018)

Optimal Pricing and Introduction Timing of New Virtual Machines. - Ian A. Kash; Peter B. Key; Spyros I. Zoumpoulis (EC, 2018)

The Power of Machine Learning and Market Design for Cloud Computing Admission Control. - Ludwig Dierks; Ian A. Kash; Sven Seuken (CoRR, 2018)

Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems. - Natasha Alechina; Joseph Y. Halpern; Ian A. Kash; Brian Logan 001 (J. Artif. Intell. Res., 2018)

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

Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data. - Yoram Bachrach; Ian A. Kash; Peter B. Key; Joel Oren (Auton. Agents Multi Agent Syst., 2019)

Simple Pricing Schemes for the Cloud. - Ian A. Kash; Peter B. Key; Warut Suksompong (ACM Trans. Economics and Comput., 2019)

Combining No-regret and Q-learning. - Ian A. Kash; Michael Sullins; Katja Hofmann (AAMAS, 2020)

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

Buying Data over Time: Approximately Optimal Strategies for Dynamic Data-Driven Decisions. - Nicole Immorlica; Ian A. Kash; Brendan Lucier (ITCS, 2021)

Fairness Through Counterfactual Utilities. - Jack Blandin; Ian A. Kash (CoRR, 2021)

Fair Decision-Making for Food Inspections. - Shubham Singh; Bhuvni Shah; Ian A. Kash (CoRR, 2021)

General truthfulness characterizations via convex analysis. - Rafael M. Frongillo; Ian A. Kash (Games Econ. Behav., 2021)

On the Cluster Admission Problem for Cloud Computing. - Ludwig Dierks; Ian A. Kash; Sven Seuken (J. Artif. Intell. Res., 2021)

Fair Decision-Making for Food Inspections. - Shubham Singh; Bhuvni Shah; Chris Kanich; Ian A. Kash (EAAMO, 2022)

Dynamic relocation in ridesharing via fixpoint construction. - Ian A. Kash; Zhongkai Wen; Lenore D. Zuck (UAI, 2022)

Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs. - Ian A. Kash; Lev Reyzin; Zishun Yu (CoRR, 2022)

An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings. - Chirag Chhablani; Ian A. Kash (AAMAS, 2023)

Multiplicative Weight Updates for Extensive Form Games. - Chirag Chhablani; Michael Sullins; Ian A. Kash (AAMAS, 2023)

Keep-Alive Caching for the Hawkes process. - Sushirdeep Narayana; Ian A. Kash (UAI, 2023)

Generalizing Group Fairness in Machine Learning via Utilities. - Jack Blandin; Ian A. Kash (J. Artif. Intell. Res., 2023)

Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services. - Ian A. Kash; Peter B. Key; Spyros I. Zoumpoulis (Oper. Res., 2023)

Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs. - Ian A. Kash; Lev Reyzin; Zishun Yu (ALT, 2024)

Learning Fairness from Demonstrations via Inverse Reinforcement Learning. - Jack Blandin; Ian A. Kash (FAccT, 2024)

Game-theoretic Counterfactual Explanation for Graph Neural Networks. - Chirag Chhablani; Sarthak Jain; Akshay Channesh; Ian A. Kash; Sourav Medya (WWW, 2024)

Decentralized Fair Division. - Joel Miller; Rishi Advani; Ian A. Kash; Chris Kanich; Lenore D. Zuck (CoRR, 2024)

Group Fairness in Reinforcement Learning via Multi-Objective Rewards. - Jack Blandin; Ian A. Kash (Trans. Mach. Learn. Res., 2024)

Binary-Report Peer Prediction for Real-Valued Signal Spaces. - Rafael M. Frongillo; Ian A. Kash; Mary Monroe (CoRR, 2025)

Choice of Scoring Rules for Indirect Elicitation of Properties with Parametric Assumptions. - Lingfang Hu; Ian A. Kash (CoRR, 2025)