Onno Zoeter

Orcid: 0000-0003-1704-706X

According to our database1, Onno Zoeter authored at least 30 papers between 2002 and 2024.

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Bibliography

2024
When Do Off-Policy and On-Policy Policy Gradient Methods Align?
CoRR, 2024

Modeling Latent Selection with Structural Causal Models.
CoRR, 2024

Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift.
Proceedings of the Causal Learning and Reasoning, 2024

2023
Correcting for selection bias and missing response in regression using privileged information.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Fair Grading Algorithms for Randomized Exams.
Proceedings of the 4th Symposium on Foundations of Responsible Computing, 2023

Contrasting Neural Click Models and Pointwise IPS Rankers.
Proceedings of the Advances in Information Retrieval, 2023

2019
Dashboard Mechanisms for Online Marketplaces.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2018
A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing.
Artif. Intell., 2018

2015
Dynamic Mechanism Design with Interdependent Valuations.
CoRR, 2015

Recommendations in Travel.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance.
CoRR, 2014

New algorithms for parking demand management and a city-scale deployment.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Understanding Dynamic Pricing for Parking in Los Angeles: Survey and Ethnographic Results.
Proceedings of the HCI in Business - First International Conference, 2014

A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A mechanism to optimally balance cost and quality of labeling tasks outsourced to strategic agents.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2011
Optimal and Robust Price Experimentation: Learning by Lottery.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Dynamic Mechanism Design for Markets with Strategic Resources.
Proceedings of the UAI 2011, 2011

Sparse Bayesian Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

User and device localization using probabilistic device log trilateration.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2009
Split variational inference.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
An experimental comparison of click position-bias models.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

2006
Deterministic approximate inference techniques for conditionally Gaussian state space models.
Stat. Comput., 2006

2005
Change Point Problems in Linear Dynamical Systems.
J. Mach. Learn. Res., 2005

Gaussian Quadrature Based Expectation Propagation.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2003
Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Approximate Expectation Maximization.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Multi-scale Switching Linear Dynamical Systems.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Generalized belief propagation for approximate inference in hybrid Bayesian networks.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks.
Proceedings of the UAI '02, 2002


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