Loss Functions, Axioms, and Peer Review

27 August 2018

Papers citing "Loss Functions, Axioms, and Peer Review"

19 / 19 papers shown

Title
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions Ivan Stelmakh Charvi Rastogi Nihar B. Shah Aarti Singh Hal Daumé CML 75 23 0 30 Nov 2020
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences Ivan Stelmakh Nihar B. Shah Aarti Singh Hal Daumé 34 29 0 30 Nov 2020
Uncovering Latent Biases in Text: Method and Application to Peer Review Emaad Manzoor Nihar B. Shah 26 39 0 29 Oct 2020
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment Ivan Stelmakh Nihar B. Shah Aarti Singh 38 38 0 08 Oct 2020
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments Steven Jecmen Hanrui Zhang Ryan Liu Nihar B. Shah Vincent Conitzer Fei Fang 101 70 0 29 Jun 2020
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis Wenxin Ding Nihar B. Shah Weina Wang 30 12 0 29 Jun 2020
On Testing for Biases in Peer Review Ivan Stelmakh Nihar B. Shah Aarti Singh 45 47 0 31 Dec 2019
Argument Mining for Understanding Peer Reviews Xinyu Hua M. Nikolov Nikhil Badugu Lu Wang LRM 63 81 0 25 Mar 2019
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review Ivan Stelmakh Nihar B. Shah Aarti Singh 37 97 0 16 Jun 2018
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings Jingyan Wang Nihar B. Shah 46 75 0 13 Jun 2018
Low Permutation-rank Matrices: Structural Properties and Noisy Completion Nihar B. Shah Sivaraman Balakrishnan Martin J. Wainwright 165 18 0 01 Sep 2017
Design and Analysis of the NIPS 2016 Review Process Nihar B. Shah Behzad Tabibian Krikamol Muandet Isabelle M Guyon U. V. Luxburg BDL 141 99 0 31 Aug 2017
Nonasymptotic estimation and support recovery for high dimensional sparse covariance matrices A. B. Kashlak Linglong Kong 13 4 0 07 May 2017
Feature Encoding in Band-limited Distributed Surveillance Systems Alireza Rahimpour A. Taalimi Hairong Qi 47 17 0 19 Dec 2016
The Landscape of Empirical Risk for Non-convex Losses Song Mei Yu Bai Andrea Montanari 111 312 0 22 Jul 2016
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness Nihar B. Shah Sivaraman Balakrishnan Martin J. Wainwright FedML 58 44 0 30 Jun 2016
Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment Haris Aziz Omer Lev Nicholas Mattei J. Rosenschein T. Walsh 39 52 0 13 Apr 2016
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues Nihar B. Shah Sivaraman Balakrishnan Adityanand Guntuboyina Martin J. Wainwright 167 146 0 19 Oct 2015
On matrix estimation under monotonicity constraints S. Chatterjee Adityanand Guntuboyina B. Sen 80 60 0 10 Jun 2015