William R. Zame

Publication Activity (10 Years)

Years Active: 1997-2022
Publications (10 Years): 27

Top Topics

Recurrent Neural Networks

Recursive Partitioning

Clinical Trials

Top Venues

Publications

Alihan Hüyük, William R. Zame, Mihaela van der Schaar
Inferring Lexicographically-Ordered Rewards from Preferences. CoRR (2022)
Alihan Hüyük, William R. Zame, Mihaela van der Schaar
Inferring Lexicographically-Ordered Rewards from Preferences. AAAI (2022)
Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS (2021)
Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. CoRR (2021)
Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR (2021)
Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. AISTATS (2021)
Yao Zhang, William R. Zame, Mihaela van der Schaar
AutoNCP: Automated pipelines for accurate confidence intervals. CoRR (2020)
Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. NeurIPS (2020)
Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar
Learning outside the Black-Box: The pursuit of interpretable models. NeurIPS (2020)
Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. CoRR (2020)
Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar
Learning outside the Black-Box: The pursuit of interpretable models. CoRR (2020)
Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar
Constructing effective personalized policies using counterfactual inference from biased data sets with many features. Mach. Learn. 108 (6) (2019)
Onur Atan, William R. Zame, Mihaela van der Schaar
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. AISTATS (2019)
Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar
Temporal Quilting for Survival Analysis. AISTATS (2019)
Kartik Ahuja, William R. Zame, Mihaela van der Schaar
Optimal Piecewise Approximations for Model Interpretation. ACSSC (2019)
Jinsung Yoon, William R. Zame, Mihaela van der Schaar
Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks. IEEE Trans. Biomed. Eng. 66 (5) (2019)
Kartik Ahuja, William R. Zame, Mihaela van der Schaar
Piecewise Approximations of Black Box Models for Model Interpretation. CoRR (2018)
Jinsung Yoon, William R. Zame, Mihaela van der Schaar
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. ICLR (Poster) (2018)
Onur Atan, William R. Zame, Mihaela van der Schaar
Learning Optimal Policies from Observational Data. CoRR (2018)
Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. AAAI (2018)
Jinsung Yoon, William R. Zame, Mihaela van der Schaar
ToPs: Ensemble Learning With Trees of Predictors. IEEE Trans. Signal Process. 66 (8) (2018)
Onur Atan, William R. Zame, Mihaela van der Schaar
Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation. CoRR (2018)
Kartik Ahuja, William R. Zame, Mihaela van der Schaar
DPSCREEN: Dynamic Personalized Screening. NIPS (2017)
Jinsung Yoon, William R. Zame, Mihaela van der Schaar
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks. CoRR (2017)
Jinsung Yoon, William R. Zame, Mihaela van der Schaar
ToPs: Ensemble Learning with Trees of Predictors. CoRR (2017)
Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR (2017)
Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features. CoRR (2016)
Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar
Technology Choices and Pricing Policies in Public and Private Wireless Networks. IEEE Trans. Wirel. Commun. 13 (12) (2014)
William R. Zame, Jie Xu, Mihaela van der Schaar
Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 32 (3) (2014)
William R. Zame, Jie Xu, Mihaela van der Schaar
Winning the Lottery: Learning Perfect Coordination With Minimal Feedback. IEEE J. Sel. Top. Signal Process. 7 (5) (2013)
William R. Zame, Jie Xu, Mihaela van der Schaar
Learning perfect coordination with minimal feedback in wireless multi-access communications. GLOBECOM (2013)
Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar
Intervention with Private Information, Imperfect Monitoring and Costly Communication. IEEE Trans. Commun. 61 (8) (2013)
Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar
Intervention with Complete and Incomplete Information: Application to Flow Control. IEEE Trans. Commun. 61 (8) (2013)
Mihaela van der Schaar, Yuanzhang Xiao, William R. Zame
Designing Efficient Resource Sharing For Impatient Players Using Limited Monitoring. CoRR (2013)
Jie Xu, William R. Zame, Mihaela van der Schaar
Token economy for online exchange systems. AAMAS (2012)
Jie Xu, William R. Zame, Mihaela van der Schaar
Token-Based Incentive Protocol Design for Online Exchange Systems. GAMENETS (2012)
Khoa Tran Phan, Mihaela van der Schaar, William R. Zame
Congestion, Information, and Secret Information in Flow Networks. IEEE J. Sel. Top. Signal Process. 6 (2) (2012)
Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar
Designing Information Revelation and Intervention with an Application to Flow Control CoRR (2012)
Jie Xu, Mihaela van der Schaar, William R. Zame
Designing Exchange for Online Communities CoRR (2011)
Khoa Tran Phan, Mihaela van der Schaar, William R. Zame
Secret information in communications networks. CDC/ECC (2011)
Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar
Technology Choices and Pricing Policies in Wireless Networks. GAMENETS (2011)
Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar
Technology Choices and Pricing Policies in Public and Private Wireless Networks CoRR (2010)
Christopher J. Harris, Maxwell B. Stinchcombe, William R. Zame
Nearly compact and continuous normal form games: characterizations and equilibrium existence. Games Econ. Behav. 50 (2) (2005)
Bryan Ellickson, Birgit Grodal, Suzanne Scotchmer, William R. Zame
Clubs and the Market: Large Finite Economies. J. Econ. Theory 101 (1) (2001)
Elaine Bennett, Michael Maschler, William R. Zame
A demand adjustment process. Int. J. Game Theory 26 (4) (1997)