Jingyan Wang

6 papers · 2020–2024 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

NeurIPS (2) AAAI (1) AISTATS (1) JMLR (1) UAI (1)

Top co-authors

Nihar B. Shah (2) Nihar Shah (2) Yuting Wei (2) Ivan Stelmakh (2) Andrew McRae (1) R. Ravi (1) R Ravi (1) Komal Dhull (1) Yuanzhi Li (1) Austin Xu (1)

Research topics

Machine Learning (5) Mathematics & Optimization (5) Optimization (4) Optimization & Theory (4) Application Areas (2) Mathematics (2) Data Science & Analytics (1) Applications (1) Core Methods (1)

Keywords

bias mitigation (2) metric learning (1) minimax optimality (1) cross validation (1) statistical estimation (1) mahalanobis distance (1) maximum likelihood estimation (1) low-rank matrix (1) projected gradient descent (1) batch optimization (1) regularized optimization (1) matrix estimation (1) bradley-terry-luce model (1) human feedback (1) pairwise comparison (1) approximation algorithm (1) least square (1) bias reduction (1) outcome-induced bia (1) soft constraint (1)

Papers

Debiasing Evaluations That Are Biased by Evaluations JMLR 2024 Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning NeurIPS 2023 Recruitment Strategies That Take a Chance NeurIPS 2022 A heuristic for statistical seriation UAI 2021 Debiasing Evaluations That Are Biased by Evaluations AAAI 2021 Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons AISTATS 2020