A demand adjustment process. - Elaine Bennett; Michael Maschler; William R. Zame (Int. J. Game Theory, 1997)

Clubs and the Market: Large Finite Economies. - Bryan Ellickson; Birgit Grodal; Suzanne Scotchmer; William R. Zame (J. Econ. Theory, 2001)

Nearly compact and continuous normal form games: characterizations and equilibrium existence. - Christopher J. Harris 003; Maxwell B. Stinchcombe; William R. Zame (Games Econ. Behav., 2005)

Secret information in communications networks. - Khoa Tran Phan; Mihaela van der Schaar; William R. Zame (CDC/ECC, 2011)

Technology Choices and Pricing Policies in Wireless Networks. - Yuanzhang Xiao; William R. Zame; Mihaela van der Schaar (GAMENETS, 2011)

Designing Exchange for Online Communities - Jie Xu 001; Mihaela van der Schaar; William R. Zame (CoRR, 2011)

Token economy for online exchange systems. - Jie Xu 001; William R. Zame; Mihaela van der Schaar (AAMAS, 2012)

Token-Based Incentive Protocol Design for Online Exchange Systems. - Jie Xu 001; William R. Zame; Mihaela van der Schaar (GAMENETS, 2012)

Designing Information Revelation and Intervention with an Application to Flow Control - Luca Canzian; Yuanzhang Xiao; William R. Zame; Michele Zorzi; Mihaela van der Schaar (CoRR, 2012)

Congestion, Information, and Secret Information in Flow Networks. - Khoa Tran Phan; Mihaela van der Schaar; William R. Zame (IEEE J. Sel. Top. Signal Process., 2012)

Learning perfect coordination with minimal feedback in wireless multi-access communications. - William R. Zame; Jie Xu 001; Mihaela van der Schaar (GLOBECOM, 2013)

Designing Efficient Resource Sharing For Impatient Players Using Limited Monitoring. - Mihaela van der Schaar; Yuanzhang Xiao; William R. Zame (CoRR, 2013)

Winning the Lottery: Learning Perfect Coordination With Minimal Feedback. - William R. Zame; Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2013)

Intervention with Private Information, Imperfect Monitoring and Costly Communication. - Luca Canzian; Yuanzhang Xiao; William R. Zame; Michele Zorzi; Mihaela van der Schaar (IEEE Trans. Commun., 2013)

Intervention with Complete and Incomplete Information: Application to Flow Control. - Luca Canzian; Yuanzhang Xiao; William R. Zame; Michele Zorzi; Mihaela van der Schaar (IEEE Trans. Commun., 2013)

Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks. - William R. Zame; Jie Xu 001; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2014)

Technology Choices and Pricing Policies in Public and Private Wireless Networks. - Yuanzhang Xiao; William R. Zame; Mihaela van der Schaar (IEEE Trans. Wirel. Commun., 2014)

DPSCREEN: Dynamic Personalized Screening. - Kartik Ahuja; William R. Zame; Mihaela van der Schaar (NIPS, 2017)

Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. - Jinsung Yoon; William R. Zame; Amitava Banerjee; Martin Cadeiras; Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2017)

DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. - Changhee Lee; William R. Zame; Jinsung Yoon; Mihaela van der Schaar (AAAI, 2018)

Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. - Jinsung Yoon; William R. Zame; Mihaela van der Schaar (ICLR (Poster), 2018)

Learning Optimal Policies from Observational Data. - Onur Atan; William R. Zame; Mihaela van der Schaar (CoRR, 2018)

Piecewise Approximations of Black Box Models for Model Interpretation. - Kartik Ahuja; William R. Zame; Mihaela van der Schaar (CoRR, 2018)

Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation. - Onur Atan; William R. Zame; Mihaela van der Schaar (CoRR, 2018)

ToPs: Ensemble Learning With Trees of Predictors. - Jinsung Yoon; William R. Zame; Mihaela van der Schaar (IEEE Trans. Signal Process., 2018)

Optimal Piecewise Approximations for Model Interpretation. - Kartik Ahuja; William R. Zame; Mihaela van der Schaar (ACSSC, 2019)

Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. - Onur Atan; William R. Zame; Mihaela van der Schaar (AISTATS, 2019)

Temporal Quilting for Survival Analysis. - Changhee Lee; William R. Zame; Ahmed M. Alaa; Mihaela van der Schaar (AISTATS, 2019)

Constructing effective personalized policies using counterfactual inference from biased data sets with many features. - Onur Atan; William R. Zame; Qiaojun Feng; Mihaela van der Schaar (Mach. Learn., 2019)

Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks. - Jinsung Yoon; William R. Zame; Mihaela van der Schaar (IEEE Trans. Biomed. Eng., 2019)

Learning outside the Black-Box: The pursuit of interpretable models. - Jonathan Crabbé; Yao Zhang; William R. Zame; Mihaela van der Schaar (NeurIPS, 2020)

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. - Hyun-Suk Lee; Yao Zhang; William R. Zame; Cong Shen 001; Jang-Won Lee 001; Mihaela van der Schaar (NeurIPS, 2020)

AutoNCP: Automated pipelines for accurate confidence intervals. - Yao Zhang; William R. Zame; Mihaela van der Schaar (CoRR, 2020)

SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. - Hyun-Suk Lee; Cong Shen 001; William R. Zame; Jang-Won Lee 001; Mihaela van der Schaar (AISTATS, 2021)

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. - Zhaozhi Qian; William R. Zame; Lucas M. Fleuren; Paul W. G. Elbers; Mihaela van der Schaar (NeurIPS, 2021)

Inferring Lexicographically-Ordered Rewards from Preferences. - Alihan Hüyük; William R. Zame; Mihaela van der Schaar (AAAI, 2022)