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Methodology
← Core Methods
Machine Learning
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Core Methods
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Ranking
216 directly classified papers
Papers per year
2003: 1
2006: 1
2007: 4
2008: 5
2009: 7
2010: 3
2011: 4
2012: 9
2013: 9
2014: 13
2015: 2
2016: 5
2017: 10
2018: 15
2019: 20
2020: 11
2021: 18
2022: 20
2023: 16
2024: 20
2025: 21
2026: 2
Papers
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
NIPS 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses
COLT 2013
POP: Person Re-identification Post-rank Optimisation
ICCV 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
NIPS 2013
Generalized Method-of-Moments for Rank Aggregation
NIPS 2013
A Theoretical Analysis of NDCG Type Ranking Measures
COLT 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking
COLT 2013
Accuracy at the Top
NIPS 2012
Bayesian nonparametric models for ranked data
NIPS 2012
Collaborative Ranking With 17 Parameters
NIPS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
NIPS 2012
GenDeR: A Generic Diversified Ranking Algorithm
NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking
NIPS 2012
Iterative ranking from pair-wise comparisons
NIPS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
NIPS 2012
Multiresolution analysis on the symmetric group
NIPS 2012
Online Submodular Set Cover, Ranking, and Repeated Active Learning
NIPS 2011
Active Ranking using Pairwise Comparisons
NIPS 2011
A Machine Learning Approach to Predict Chemical Reactions
NIPS 2011
Learning Transformation Models for Ranking and Survival Analysis
JMLR 2011
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
NIPS 2010
A New Probabilistic Model for Rank Aggregation
NIPS 2010
Simultaneous Object Detection and Ranking with Weak Supervision
NIPS 2010
A Data-Driven Approach to Modeling Choice
NIPS 2009
Polynomial Semantic Indexing
NIPS 2009
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