Shah, Nihar B.

23 publications

TMLR 2025 A Gold Standard Dataset for the Reviewer Assignment Problem Ivan Stelmakh, John Frederick Wieting, Yang Xi, Graham Neubig, Nihar B Shah

NeurIPS 2025 A Principled Approach to Randomized Selection Under Uncertainty: Applications to Peer Review and Grant Funding Alexander Koujianos Goldberg, Giulia Fanti, Nihar B Shah

TMLR 2025 On the Detection of Reviewer-Author Collusion Rings from Paper Bidding Steven Jecmen, Nihar B Shah, Fei Fang, Leman Akoglu

TMLR 2023 Assisting Human Decisions in Document Matching Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B Shah, Ameet Talwalkar

TMLR 2022 Integrating Rankings into Quantized Scores in Peer Review Yusha Liu, Yichong Xu, Nihar B Shah, Aarti Singh

JMLR 2022 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh

UAI 2021 A Heuristic for Statistical Seriation Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi

AAAI 2021 A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé Iii

AAAI 2021 Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment Ivan Stelmakh, Nihar B. Shah, Aarti Singh

AAAI 2021 Debiasing Evaluations That Are Biased by Evaluations Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah

JAIR 2021 Loss Functions, Axioms, and Peer Review Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia

AAAI 2021 Uncovering Latent Biases in Text: Method and Application to Peer Review Emaad A. Manzoor, Nihar B. Shah

AAAI 2020 Ranking and Rating Rankings and Ratings Jingyan Wang, Nihar B. Shah

JMLR 2019 Low Permutation-Rank Matrices: Structural Properties and Noisy Completion Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright

IJCAI 2019 On Strategyproof Conference Peer Review Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah

ALT 2019 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review Ivan Stelmakh, Nihar B. Shah, Aarti Singh

JMLR 2018 Design and Analysis of the NIPS 2016 Review Process Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg

JMLR 2016 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing Nihar B. Shah, Dengyong Zhou

JMLR 2016 Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright

ECCV 2016 Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits Baiyu Chen, Sergio Escalera, Isabelle Guyon, Víctor Ponce-López, Nihar B. Shah, Marc Oliu Simon

ECCVW 2016 Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits Baiyu Chen, Sergio Escalera, Isabelle Guyon, Víctor Ponce-López, Nihar B. Shah, Marc Oliu Simon

AISTATS 2015 Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright

AAAI 2015 On the Impossibility of Convex Inference in Human Computation Nihar B. Shah, Dengyong Zhou