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2020 – today
- 2024
[c23]Philip A. Boeken, Onno Zoeter, Joris M. Mooij:
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift. CLeaR 2024: 551-569- [c22]Philipp Hager
, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke:
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. SIGIR 2024: 1546-1556 - [i10]Leihao Chen, Onno Zoeter, Joris M. Mooij:
Modeling Latent Selection with Structural Causal Models. CoRR abs/2401.06925 (2024) - [i9]Davide Mambelli, Stephan Bongers, Onno Zoeter, Matthijs T. J. Spaan, Frans A. Oliehoek:
When Do Off-Policy and On-Policy Policy Gradient Methods Align? CoRR abs/2402.12034 (2024) - [i8]Philip A. Boeken, Onno Zoeter, Joris M. Mooij:
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift. CoRR abs/2403.00886 (2024) - [i7]Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke:
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. CoRR abs/2404.02543 (2024) - 2023
- [c21]Philipp Hager, Maarten de Rijke, Onno Zoeter:
Contrasting Neural Click Models and Pointwise IPS Rankers. ECIR (1) 2023: 409-425 - [c20]Jiale Chen, Jason D. Hartline, Onno Zoeter:
Fair Grading Algorithms for Randomized Exams. FORC 2023: 7:1-7:22 - [c19]Philip A. Boeken, Noud de Kroon, Mathijs de Jong, Joris M. Mooij, Onno Zoeter:
Correcting for selection bias and missing response in regression using privileged information. UAI 2023: 195-205 - [i6]Jiale Chen, Jason D. Hartline, Onno Zoeter:
Fair Grading Algorithms for Randomized Exams. CoRR abs/2304.06254 (2023)
2010 – 2019
- 2019
- [c18]Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter:
Dashboard Mechanisms for Online Marketplaces. EC 2019: 591-592 - [i5]Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter:
Dashboard Mechanisms for Online Marketplaces. CoRR abs/1905.05750 (2019) - 2018
- [j4]Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari:
A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing. Artif. Intell. 254: 44-63 (2018) - 2015
- [c17]Onno Zoeter:
Recommendations in Travel. RecSys 2015: 234 - [i4]Swaprava Nath, Onno Zoeter, Y. Narahari, Christopher R. Dance:
Dynamic Mechanism Design with Interdependent Valuations. CoRR abs/1506.07631 (2015) - 2014
- [c16]Satyanath Bhat, Swaprava Nath, Sujit Gujar, Onno Zoeter, Y. Narahari, Christopher R. Dance:
A mechanism to optimally balance cost and quality of labeling tasks outsourced to strategic agents. AAMAS 2014: 917-924 - [c15]Shweta Jain, Sujit Gujar, Onno Zoeter, Y. Narahari:
A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning. AAMAS 2014: 1609-1610 - [c14]James Glasnapp, Honglu Du, Christopher R. Dance, Stéphane Clinchant, Alex Pudlin, Daniel Mitchell, Onno Zoeter:
Understanding Dynamic Pricing for Parking in Los Angeles: Survey and Ethnographic Results. HCI (18) 2014: 316-327 - [c13]Onno Zoeter, Christopher R. Dance, Stéphane Clinchant, Jean-Marc Andreoli:
New algorithms for parking demand management and a city-scale deployment. KDD 2014: 1819-1828 - [i3]Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari:
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance. CoRR abs/1406.7157 (2014) - 2013
- [i2]Tom Heskes, Onno Zoeter:
Expectation Propogation for approximate inference in dynamic Bayesian networks. CoRR abs/1301.0572 (2013) - 2012
- [i1]Swaprava Nath, Onno Zoeter, Yadati Narahari, Christopher R. Dance:
Dynamic Mechanism Design for Markets with Strategic Resources. CoRR abs/1202.3751 (2012) - 2011
- [c12]Guillaume Bouchard, Luis R. Ulloa, Jean-Marc Andreoli, Victor Ciriza, Onno Zoeter:
User and device localization using probabilistic device log trilateration. MLSP 2011: 1-6 - [c11]Cédric Archambeau, Shengbo Guo, Onno Zoeter:
Sparse Bayesian Multi-Task Learning. NIPS 2011: 1755-1763 - [c10]Swaprava Nath, Onno Zoeter, Yadati Narahari, Christopher R. Dance:
Dynamic Mechanism Design for Markets with Strategic Resources. UAI 2011: 539-546 - [c9]Christopher R. Dance, Onno Zoeter:
Optimal and Robust Price Experimentation: Learning by Lottery. AISTATS 2011: 242-250
2000 – 2009
- 2009
- [c8]Guillaume Bouchard, Onno Zoeter:
Split variational inference. ICML 2009: 57-64 - 2008
- [c7]Nick Craswell, Onno Zoeter, Michael J. Taylor, Bill Ramsey:
An experimental comparison of click position-bias models. WSDM 2008: 87-94 - 2006
- [j3]Onno Zoeter, Tom Heskes:
Deterministic approximate inference techniques for conditionally Gaussian state space models. Stat. Comput. 16(3): 279-292 (2006) - 2005
- [j2]Onno Zoeter, Tom Heskes:
Change Point Problems in Linear Dynamical Systems. J. Mach. Learn. Res. 6: 1999-2026 (2005) - [c6]Onno Zoeter, Tom Heskes:
Gaussian Quadrature Based Expectation Propagation. AISTATS 2005: 445-452 - [c5]Onno Zoeter, Tom Heskes:
Gaussian Quadrature Based Expectation Propagation. BNAIC 2005: 407 - 2003
- [j1]Onno Zoeter, Tom Heskes:
Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1202-1214 (2003) - [c4]Tom Heskes, Onno Zoeter:
Generalized belief propagation for approximate inference in hybrid Bayesian networks. AISTATS 2003: 132-140 - [c3]Onno Zoeter, Tom Heskes:
Multi-scale Switching Linear Dynamical Systems. ICANN 2003: 562-572 - [c2]Tom Heskes, Onno Zoeter, Wim Wiegerinck:
Approximate Expectation Maximization. NIPS 2003: 353-360 - 2002
- [c1]Tom Heskes, Onno Zoeter:
Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks. UAI 2002: 216-223
Coauthor Index
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