Fetching the paper…
Reading the bibliography…
Motivated by the problem of improving peer review at large scientific conferences, this paper studies how to elicit self-evaluations to improve review scores in a natural many-to-many owner-item (e.g., author-paper) situation with overlapping ownership.
Games with incomplete information played by “bayesian” players, i–iii part i. the basic model
John C Harsanyi · 1967
Earlier work this paper cites.
The isotonic regression problem and its dual
Richard E Barlow and Hugh D Brunk · 1972
Earlier work this paper cites.
Monopoly and product quality
Michael Mussa and Sherwin Rosen · 1978
Earlier work this paper cites.
Rank-order tournaments as optimum labor contracts
Edward P Lazear and Sherwin Rosen · 1981
Earlier work this paper cites.
Scarcity and consumer choice behavior
Theo MM Verhallen · 1982
Earlier work this paper cites.
Prizes and incentives in elimination tournaments
Sherwin Rosen · 1985
Earlier work this paper cites.
A general theory of equilibrium selection in games
John C Harsanyi, Reinhard Selten, et al · 1988
Earlier work this paper cites.
Algorithmic mechanism design
Noam Nisan and Amir Ronen · 1999
Earlier work this paper cites.
Simultaneous optimization via approximate majorization for concave profits or convex costs
Ashish Goel and Adam Meyerson · 2006
Earlier work this paper cites.
Is peer review broken? submissions are up, reviewers are overtaxed, and authors are lodging complaint after complaint about the process at top-tier journals. what’s wrong with peer review?
Alison McCook · 2006
Earlier work this paper cites.
Interactively optimizing information retrieval systems as a dueling bandits problem
Yisong Yue and Thorsten Joachims · 2009
Earlier work this paper cites.
How should we deal with the growing peer-review problem?
Kate Lajtha and Philippe C Baveye · 2010
Earlier work this paper cites.
Statistical quality estimation for general crowdsourcing tasks
Yukino Baba and Hisashi Kashima · 2013
Earlier work this paper cites.
Evaluating transformative research programmes: A case study of the nsf small grants for exploratory research programme
Caroline S Wagner and Jeffrey Alexander · 2013
Earlier work this paper cites.
The NIPS experiment, 2014
Neil Lawrence and Corinna Cortes · 2014
Earlier work this paper cites.
Arbitrariness of peer review: A bayesian analysis of the NIPS experiment
Olivier François · 2015
Cited alongside, same era.
The arbitrariness of reviews, and advice for school administrators
John Langford and Mark Guzdial · 2015
Cited alongside, same era.
Peer review: A system under stress
Robert E Gropp, Scott Glisson, Stephen Gallo, and Lisa Thompson · 2017
Cited alongside, same era.
Calibration with confidence: a principled method for panel assessment
Robert S MacKay, Ralph Kenna, Robert J Low, and Sarah Parker · 2017
Cited alongside, same era.
Reviewer bias in single-versus double-blind peer review
Andrew Tomkins, Min Zhang, and William D Heavlin · 2017
Cited alongside, same era.
The theory of the leisure class
Thorstein Veblen · 2017
You are the best reviewer of your own papers: An owner-assisted scoring mechanism
Weijie J Su · 2021
Later among the works it cites.
Least square calibration for peer reviews
Sijun Tan, Jibang Wu, Xiaohui Bei, and Haifeng Xu · 2021
Later among the works it cites.
Training a helpful and harmless assistant with reinforcement learning from human feedback
Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, et al · 2022
Later among the works it cites.
Developing science and technology policies for high risk-high reward research
Lingjing Cao and Zhiqiang Zhang · 2022
Later among the works it cites.
URL https://openreview.net/group?id=ICLR.cc/2022/Conference
The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022 , 2022. ICLR, OpenReview.net · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Beyond individual choice
Michael Bacharach · 2018
Cited alongside, same era.
Design and analysis of the nips 2016 review process
Nihar B Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, and Ulrike Von Luxburg · 2018
Cited alongside, same era.
Troubling trends in machine learning scholarship: Some ml papers suffer from flaws that could mislead the public and stymie future research
Zachary C Lipton and Jacob Steinhardt · 2019
Cited alongside, same era.
Arbitrariness in the peer review process
Elise S Brezis and Aliaksandr Birukou · 2020
Cited alongside, same era.
AI-assisted peer review
Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, and Giuseppe Bianchi · 2021
Cited alongside, same era.
Inconsistency in conference peer review: revisiting the 2014 neurips experiment
Corinna Cortes and Neil D Lawrence · 2021
Cited alongside, same era.
Challenges, experiments, and computational solutions in peer review
Nihar B Shah · 2022
Later among the works it cites.
You are the best reviewer of your own papers: The Isotonic Mechanism
Weijie J Su · 2022
Later among the works it cites.
Fair price discrimination
Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, and Kangning Wang · 2023
Closest in time.
Erik D Demaine and Martin L Demaine · 2023
Closest in time.
Encouraging high-risk high-reward research at nih
Chiara Franzoni · 2023
Closest in time.
URL https://openreview.net/group?id=ICLR.cc/2023/Conference
The 11th International Conference on Learning Representations, ICLR 2023, Kigali Rwanda, May 1-5, 2023 , 2023. ICLR, OpenReview.net · 2023
Closest in time.
Borda’s rule and arrow’s independence of irrelevant alternatives
Eric Maskin · 2023
Closest in time.
Eliciting honest information from authors using sequential review
Yichi Zhang, Grant Schoenebeck, and Weijie Su · 2024
Closest in time.
The ICML 2023 ranking experiment: Examining author self-assessment in ML/AI peer review
Buxin Su, Jiayao Zhang, Natalie Collina, Yuling Yan, Didong Li, Kyunghyun Cho, Jianqing Fan, Aaron Roth, and Weijie J Su · 2025
Closest in time.
Isotonic mechanism for exponential family estimation in machine learning peer review
Yuling Yan, Weijie J Su, and Jianqing Fan · 2025
Closest in time.